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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

 


 

 
 A 

 
Adami, Christoph
 

Evolution of Active Categorical Image Classification via Saccadic Eye Movement
R.S. Olson, J.H. Moore and C. Adami
LNCS 9921, p. 581 ff.
Full chapter in PDF

 
Aguirre, Hernan
 

Multi-objective Local Search Based on Decomposition
B. Derbel, A. Liefooghe, Q. Zhang, H. Aguirre and K. Tanaka
LNCS 9921, p. 431 ff.
Full chapter in PDF

 
Ait ElHara, Ouassim
 

On the Use of Semantics in Multi-objective Genetic Programming
E. Galván-López, E. Mezura-Montes, O. Ait ElHara and M. Schoenauer
LNCS 9921, p. 353 ff.
Full chapter in PDF

 
Akimoto, Youhei
 

Online Model Selection for Restricted Covariance Matrix Adaptation
Y. Akimoto and N. Hansen
LNCS 9921, p. 3 ff.
Full chapter in PDF

 
Alba, Enrique
 

A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems
R. Hernández Gómez, C.A. Coello Coello and E. Alba
LNCS 9921, p. 568 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Alexander, Andrew S.
 

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
E.L. Rounds, E.O. Scott, A.S. Alexander, K.A. De Jong, D.A. Nitz and J.L. Krichmar
LNCS 9921, p. 537 ff.
Full chapter in PDF

 
Alexander, Brad
 

Using Scaffolding with Partial Call-Trees to Improve Search
B. Alexander, C. Pyromallis, G. Lorenzetti and B. Zacher
LNCS 9921, p. 324 ff.
Full chapter in PDF

 
Alyahya, Khulood
 

Simple Random Sampling Estimation of the Number of Local Optima
K. Alyahya and J.E. Rowe
LNCS 9921, p. 932 ff.
Full chapter in PDF

 
Arbonès, Dídac Rodríguez
 

Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters
D.R. Arbonès, B. Ding, N.Y. Sergiienko and M. Wagner
LNCS 9921, p. 675 ff.
Full chapter in PDF

 
Arnold, Dirk V.
 

An Active-Set Evolution Strategy for Optimization with Known Constraints
D.V. Arnold
LNCS 9921, p. 192 ff.
Full chapter in PDF

 
Atamna, Asma
 

Augmented Lagrangian Constraint Handling for CMA-ES—Case of a Single Linear Constraint
A. Atamna, A. Auger and N. Hansen
LNCS 9921, p. 181 ff.
Full chapter in PDF

 
Auger, Anne
 

Augmented Lagrangian Constraint Handling for CMA-ES—Case of a Single Linear Constraint
A. Atamna, A. Auger and N. Hansen
LNCS 9921, p. 181 ff.
Full chapter in PDF

 
Avigad, Gideon
 

The Competing Travelling Salespersons Problem Under Multi-criteria
E. Matalon-Eisenstadt, A. Moshaiov and G. Avigad
LNCS 9921, p. 463 ff.
Full chapter in PDF

 
Ayodele, Mayowa
 

RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm
M. Ayodele, J. McCall and O. Regnier-Coudert
LNCS 9921, p. 849 ff.
Full chapter in PDF

 
 B 

 
Baioletti, Marco
 

An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs
M. Baioletti, A. Milani and V. Santucci
LNCS 9921, p. 123 ff.
Full chapter in PDF

 
Bajer, Lukáš
 

Doubly Trained Evolution Control for the Surrogate CMA-ES
Z. Pitra, L. Bajer and M. Holeňa
LNCS 9921, p. 59 ff.
Full chapter in PDF

 
Barbosa, Helio J.C.
 

A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits
F.A.L. Manfrini, H.S. Bernardino and H.J.C. Barbosa
LNCS 9921, p. 665 ff.
Full chapter in PDF

 
Bartoli, Alberto
 

Syntactical Similarity Learning by Means of Grammatical Evolution
A. Bartoli, A. De Lorenzo, E. Medvet and F. Tarlao
LNCS 9921, p. 260 ff.
Full chapter in PDF

 
Bartz-Beielstein, Thomas
 

Efficient Global Optimization with Indefinite Kernels
M. Zaefferer and T. Bartz-Beielstein
LNCS 9921, p. 69 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Belkhir, Nacim
 

Feature Based Algorithm Configuration: A Case Study with Differential Evolution
N. Belkhir, J. Dréo, P. Savéant and M. Schoenauer
LNCS 9921, p. 156 ff.
Full chapter in PDF

 
Benbassat, Amit
 

Replicating the Stroop Effect Using a Developmental Spatial Neuroevolution System
A. Benbassat and A. Henik
LNCS 9921, p. 602 ff.
Full chapter in PDF

 
Bernardino, Heder S.
 

A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits
F.A.L. Manfrini, H.S. Bernardino and H.J.C. Barbosa
LNCS 9921, p. 665 ff.
Full chapter in PDF

 
Beyer, Hans-Georg
 

Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES
M. Hellwig and H.-G. Beyer
LNCS 9921, p. 26 ff.
Full chapter in PDF

 
Blair, Alan
 

Parallel Hierarchical Evolution of String Library Functions
J. Soderlund, D. Vickers and A. Blair
LNCS 9921, p. 281 ff.
Full chapter in PDF

 
Blum, Christian
 

The Workshops at PPSN 2016
C. Blum and C. Zarges
LNCS 9921, p. 1007 ff.
Full chapter in PDF

 
Bongard, Josh C.
 

Semantic Forward Propagation for Symbolic Regression
M. Szubert, A. Kodali, S. Ganguly, K. Das and J.C. Bongard
LNCS 9921, p. 364 ff.
Full chapter in PDF

 

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling
S. Kriegman, M. Szubert, J.C. Bongard and C. Skalka
LNCS 9921, p. 707 ff.
Full chapter in PDF

 

Exploring Uncertainty and Movement in Categorical Perception Using Robots
N. Powell and J. Bongard
LNCS 9921, p. 623 ff.
Full chapter in PDF

 
Boonstra, Sjonnie
 

Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms
K. van der Blom, S. Boonstra, H. Hofmeyer and M.T.M. Emmerich
LNCS 9921, p. 453 ff.
Full chapter in PDF

 
Bosman, Peter A.N.
 

The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme
W. den Besten, D. Thierens and P.A.N. Bosman
LNCS 9921, p. 48 ff.
Full chapter in PDF

 
Branke, Juergen
 

Efficient Sampling When Searching for Robust Solutions
J. Branke and X. Fei
LNCS 9921, p. 237 ff.
Full chapter in PDF

 

Improving Efficiency of Bi-level Worst Case Optimization
K. Lu, J. Branke and T. Ray
LNCS 9921, p. 410 ff.
Full chapter in PDF

 
Bredeche, Nicolas
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Brockhoff, Dimo
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Bruce, Bobby R.
 

Optimising Quantisation Noise in Energy Measurement
W.B. Langdon, J. Petke and B.R. Bruce
LNCS 9921, p. 249 ff.
Full chapter in PDF

 
Buza, Krisztian
 

Community Structure Detection for the Functional Connectivity Networks of the Brain
R.I. Lung, M. Suciu, R. Meszlényi, K. Buza and N. Gaskó
LNCS 9921, p. 633 ff.
Full chapter in PDF

 
 C 

 
Cao, Van Loi
 

A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection
V.L. Cao, M. Nicolau and J. McDermott
LNCS 9921, p. 717 ff.
Full chapter in PDF

 
Castillo, P.A.
 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Chávez, F.
 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Christensen, Anders Lyhne
 

Cooperative Coevolution of Control for a Real Multirobot System
J. Gomes, M. Duarte, P. Mariano and A.L. Christensen
LNCS 9921, p. 591 ff.
Full chapter in PDF

 
Chu, Thi Huong
 

Tournament Selection Based on Statistical Test in Genetic Programming
T.H. Chu, Q.U. Nguyen and M. O’Neill
LNCS 9921, p. 303 ff.
Full chapter in PDF

 
Chugh, Tinkle
 

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization
T. Chugh, K. Sindhya, K. Miettinen, J. Hakanen and Y. Jin
LNCS 9921, p. 214 ff.
Full chapter in PDF

 
Coello Coello, Carlos A.
 

iMOACO: A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces
J.G. Falcón-Cardona and C.A. Coello Coello
LNCS 9921, p. 389 ff.
Full chapter in PDF

 

A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator
E. Manoatl Lopez and C.A. Coello Coello
LNCS 9921, p. 473 ff.
Full chapter in PDF

 

Decomposition-Based Approach for Solving Large Scale Multi-objective Problems
L. Miguel Antonio and C.A. Coello Coello
LNCS 9921, p. 525 ff.
Full chapter in PDF

 

A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems
R. Hernández Gómez, C.A. Coello Coello and E. Alba
LNCS 9921, p. 568 ff.
Full chapter in PDF

 
Consoli, Pietro
 

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
X. Wu, P. Consoli, L. Minku, G. Ochoa and X. Yao
LNCS 9921, p. 37 ff.
Full chapter in PDF

 
Correa, Claudia R.
 

Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success
C.R. Correa, E.F. Wanner and C.M. Fonseca
LNCS 9921, p. 101 ff.
Full chapter in PDF

 
Cotta, C.
 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Cotta, Carlos
 

A Study of the Performance of Self –  Memetic Algorithms on Heterogeneous Ephemeral Environments
R. Nogueras and C. Cotta
LNCS 9921, p. 91 ff.
Full chapter in PDF

 
 D 

 
Dang, Duc-Cuong
 

Self-adaptation of Mutation Rates in Non-elitist Populations
D.-C. Dang and P.K. Lehre
LNCS 9921, p. 803 ff.
Full chapter in PDF

 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 
Das, Kamalika
 

Semantic Forward Propagation for Symbolic Regression
M. Szubert, A. Kodali, S. Ganguly, K. Das and J.C. Bongard
LNCS 9921, p. 364 ff.
Full chapter in PDF

 
De Jong, Kenneth A.
 

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
E.L. Rounds, E.O. Scott, A.S. Alexander, K.A. De Jong, D.A. Nitz and J.L. Krichmar
LNCS 9921, p. 537 ff.
Full chapter in PDF

 

Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise
E.O. Scott and K.A. De Jong
LNCS 9921, p. 952 ff.
Full chapter in PDF

 
De Lorenzo, Andrea
 

Syntactical Similarity Learning by Means of Grammatical Evolution
A. Bartoli, A. De Lorenzo, E. Medvet and F. Tarlao
LNCS 9921, p. 260 ff.
Full chapter in PDF

 
de Vega, F. Fernández
 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Deb, Kalyanmoy
 

Variable Interaction in Multi-objective Optimization Problems
K. Li, M.N. Omidvar, K. Deb and X. Yao
LNCS 9921, p. 399 ff.
Full chapter in PDF

 
den Besten, Willem
 

The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme
W. den Besten, D. Thierens and P.A.N. Bosman
LNCS 9921, p. 48 ff.
Full chapter in PDF

 
Derbel, Bilel
 

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods
C. Jankee, S. Verel, B. Derbel and C. Fonlupt
LNCS 9921, p. 80 ff.
Full chapter in PDF

 

Multi-objective Local Search Based on Decomposition
B. Derbel, A. Liefooghe, Q. Zhang, H. Aguirre and K. Tanaka
LNCS 9921, p. 431 ff.
Full chapter in PDF

 
Deutz, André
 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
Full chapter in PDF

 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Ding, Boyin
 

Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters
D.R. Arbonès, B. Ding, N.Y. Sergiienko and M. Wagner
LNCS 9921, p. 675 ff.
Full chapter in PDF

 
Doerr, Benjamin
 

Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables
B. Doerr, C. Doerr and T. Kötzing
LNCS 9921, p. 782 ff.
Full chapter in PDF

 

k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation
B. Doerr, C. Doerr and J. Yang
LNCS 9921, p. 824 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Doerr, Carola
 

Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables
B. Doerr, C. Doerr and T. Kötzing
LNCS 9921, p. 782 ff.
Full chapter in PDF

 

k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation
B. Doerr, C. Doerr and J. Yang
LNCS 9921, p. 824 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Doi, Ken
 

Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D
H. Ishibuchi, K. Doi and Y. Nojima
LNCS 9921, p. 503 ff.
Full chapter in PDF

 
Dréo, Johann
 

Feature Based Algorithm Configuration: A Case Study with Differential Evolution
N. Belkhir, J. Dréo, P. Savéant and M. Schoenauer
LNCS 9921, p. 156 ff.
Full chapter in PDF

 
Duarte, Miguel
 

Cooperative Coevolution of Control for a Real Multirobot System
J. Gomes, M. Duarte, P. Mariano and A.L. Christensen
LNCS 9921, p. 591 ff.
Full chapter in PDF

 
 E 

 
Eiben, Gusz
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Emmerich, Michael T.M.
 

Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms
K. van der Blom, S. Boonstra, H. Hofmeyer and M.T.M. Emmerich
LNCS 9921, p. 453 ff.
Full chapter in PDF

 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
Full chapter in PDF

 
Epitropakis, Michael G.
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
 F 

 
Falcón-Cardona, Jesús Guillermo
 

iMOACO: A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces
J.G. Falcón-Cardona and C.A. Coello Coello
LNCS 9921, p. 389 ff.
Full chapter in PDF

 
Fansi-Tchango, Arsene
 

Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
L. Martí, A. Fansi-Tchango, L. Navarro and M. Schoenauer
LNCS 9921, p. 697 ff.
Full chapter in PDF

 
Fei, Xin
 

Efficient Sampling When Searching for Robust Solutions
J. Branke and X. Fei
LNCS 9921, p. 237 ff.
Full chapter in PDF

 
Fernandes, C.M.
 

An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm
C.M. Fernandes, J.J. Merelo and A.C. Rosa
LNCS 9921, p. 167 ff.
Full chapter in PDF

 
Fonlupt, Cyril
 

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods
C. Jankee, S. Verel, B. Derbel and C. Fonlupt
LNCS 9921, p. 80 ff.
Full chapter in PDF

 
Fonseca, Carlos M.
 

Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success
C.R. Correa, E.F. Wanner and C.M. Fonseca
LNCS 9921, p. 101 ff.
Full chapter in PDF

 

Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results
A.P. Guerreiro and C.M. Fonseca
LNCS 9921, p. 814 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Friedrich, Tobias
 

Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover
W. Gao, T. Friedrich and F. Neumann
LNCS 9921, p. 740 ff.
Full chapter in PDF

 

Graceful Scaling on Uniform Versus Steep-Tailed Noise
T. Friedrich, T. Kötzing, M.S. Krejca and A.M. Sutton
LNCS 9921, p. 761 ff.
Full chapter in PDF

 

On the Robustness of Evolving Populations
T. Friedrich, T. Kötzing and A.M. Sutton
LNCS 9921, p. 771 ff.
Full chapter in PDF

 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 
Fu, Haohuan
 

TADE: Tight Adaptive Differential Evolution
W. Zheng, H. Fu and G. Yang
LNCS 9921, p. 113 ff.
Full chapter in PDF

 
Fukunaga, Alex
 

How Far Are We from an Optimal, Adaptive DE?
R. Tanabe and A. Fukunaga
LNCS 9921, p. 145 ff.
Full chapter in PDF

 
 G 

 
Galván-López, Edgar
 

On the Use of Semantics in Multi-objective Genetic Programming
E. Galván-López, E. Mezura-Montes, O. Ait ElHara and M. Schoenauer
LNCS 9921, p. 353 ff.
Full chapter in PDF

 
Ganguly, Sangram
 

Semantic Forward Propagation for Symbolic Regression
M. Szubert, A. Kodali, S. Ganguly, K. Das and J.C. Bongard
LNCS 9921, p. 364 ff.
Full chapter in PDF

 
Gao, Wanru
 

Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover
W. Gao, T. Friedrich and F. Neumann
LNCS 9921, p. 740 ff.
Full chapter in PDF

 

Feature-Based Diversity Optimization for Problem Instance Classification
W. Gao, S. Nallaperuma and F. Neumann
LNCS 9921, p. 869 ff.
Full chapter in PDF

 
García, J.A.
 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Gaskó, Noémi
 

Community Structure Detection for the Functional Connectivity Networks of the Brain
R.I. Lung, M. Suciu, R. Meszlényi, K. Buza and N. Gaskó
LNCS 9921, p. 633 ff.
Full chapter in PDF

 
Glover, Tom Eivind
 

Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata
S. Nichele, T.E. Glover and G. Tufte
LNCS 9921, p. 14 ff.
Full chapter in PDF

 
Gomes, Jorge
 

Cooperative Coevolution of Control for a Real Multirobot System
J. Gomes, M. Duarte, P. Mariano and A.L. Christensen
LNCS 9921, p. 591 ff.
Full chapter in PDF

 
Grimme, Christian
 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
Full chapter in PDF

 
Groves, C.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
Full chapter in PDF

 
Guerreiro, Andreia P.
 

Hypervolume Sharpe-Ratio Indicator: Formalization and First Theoretical Results
A.P. Guerreiro and C.M. Fonseca
LNCS 9921, p. 814 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
 H 

 
Haasdijk, Evert
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Hakanen, Jussi
 

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization
T. Chugh, K. Sindhya, K. Miettinen, J. Hakanen and Y. Jin
LNCS 9921, p. 214 ff.
Full chapter in PDF

 
Hansen, Nikolaus
 

Online Model Selection for Restricted Covariance Matrix Adaptation
Y. Akimoto and N. Hansen
LNCS 9921, p. 3 ff.
Full chapter in PDF

 

Augmented Lagrangian Constraint Handling for CMA-ES—Case of a Single Linear Constraint
A. Atamna, A. Auger and N. Hansen
LNCS 9921, p. 181 ff.
Full chapter in PDF

 
Hart, Emma
 

Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems
E. Lalla-Ruiz, E. Segredo, S. Voß, E. Hart and B. Paechter
LNCS 9921, p. 134 ff.
Full chapter in PDF

 

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm
A. Steyven, E. Hart and B. Paechter
LNCS 9921, p. 921 ff.
Full chapter in PDF

 
Heinerman, Jacqueline
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Hellwig, Michael
 

Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound - The pcCMSA-ES
M. Hellwig and H.-G. Beyer
LNCS 9921, p. 26 ff.
Full chapter in PDF

 
Henik, Avishai
 

Replicating the Stroop Effect Using a Developmental Spatial Neuroevolution System
A. Benbassat and A. Henik
LNCS 9921, p. 602 ff.
Full chapter in PDF

 
Hernández Gómez, Raquel
 

A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems
R. Hernández Gómez, C.A. Coello Coello and E. Alba
LNCS 9921, p. 568 ff.
Full chapter in PDF

 
Herrmann, Sebastian
 

Coarse-Grained Barrier Trees of Fitness Landscapes
S. Herrmann, G. Ochoa and F. Rothlauf
LNCS 9921, p. 901 ff.
Full chapter in PDF

 
Hofmeyer, Hèrm
 

Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms
K. van der Blom, S. Boonstra, H. Hofmeyer and M.T.M. Emmerich
LNCS 9921, p. 453 ff.
Full chapter in PDF

 
Holeňa, Martin
 

Doubly Trained Evolution Control for the Surrogate CMA-ES
Z. Pitra, L. Bajer and M. Holeňa
LNCS 9921, p. 59 ff.
Full chapter in PDF

 
Horn, Daniel
 

Multi-objective Selection of Algorithm Portfolios: Experimental Validation
D. Horn, K. Schork and T. Wagner
LNCS 9921, p. 421 ff.
Full chapter in PDF

 
Hrabec, Dušan
 

WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm
D. Hrabec, P. Popela and J. Roupec
LNCS 9921, p. 655 ff.
Full chapter in PDF

 
Hu, Yan
 

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability
Z. Ren, H. Jiang, J. Xuan, K. Tang and Y. Hu
LNCS 9921, p. 442 ff.
Full chapter in PDF

 
Hubert, Julien
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
 I 

 
Ishibuchi, Hisao
 

Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D
H. Ishibuchi, K. Doi and Y. Nojima
LNCS 9921, p. 503 ff.
Full chapter in PDF

 
 J 

 
Jacob, Christian
 

evoVision3D: A Multiscale Visualization of Evolutionary Histories
J.J. Kelly and C. Jacob
LNCS 9921, p. 942 ff.
Full chapter in PDF

 
Jakobovic, Domagoj
 

Evolving Cryptographic Pseudorandom Number Generators
S. Picek, D. Sisejkovic, V. Rozic, B. Yang, D. Jakobovic and N. Mentens
LNCS 9921, p. 613 ff.
Full chapter in PDF

 
Jankee, Christopher
 

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods
C. Jankee, S. Verel, B. Derbel and C. Fonlupt
LNCS 9921, p. 80 ff.
Full chapter in PDF

 
Jansen, Thomas
 

Example Landscapes to Support Analysis of Multimodal Optimisation
T. Jansen and C. Zarges
LNCS 9921, p. 792 ff.
Full chapter in PDF

 
Jiang, He
 

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability
Z. Ren, H. Jiang, J. Xuan, K. Tang and Y. Hu
LNCS 9921, p. 442 ff.
Full chapter in PDF

 
Jiang, Shouyong
 

Convergence Versus Diversity in Multiobjective Optimization
S. Jiang and S. Yang
LNCS 9921, p. 984 ff.
Full chapter in PDF

 
Jin, Yaochu
 

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization
T. Chugh, K. Sindhya, K. Miettinen, J. Hakanen and Y. Jin
LNCS 9921, p. 214 ff.
Full chapter in PDF

 
 K 

 
Kabán, Ata
 

REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension
M.L. Sanyang and A. Kabán
LNCS 9921, p. 859 ff.
Full chapter in PDF

 
Keedwell, Ed
 

Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators
D.J. Walker and E. Keedwell
LNCS 9921, p. 493 ff.
Full chapter in PDF

 
Kelly, Justin J.
 

evoVision3D: A Multiscale Visualization of Evolutionary Histories
J.J. Kelly and C. Jacob
LNCS 9921, p. 942 ff.
Full chapter in PDF

 
Kerschke, Pascal
 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
Full chapter in PDF

 
Kodali, Anuradha
 

Semantic Forward Propagation for Symbolic Regression
M. Szubert, A. Kodali, S. Ganguly, K. Das and J.C. Bongard
LNCS 9921, p. 364 ff.
Full chapter in PDF

 
Kotsialos, A.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
Full chapter in PDF

 
Kötzing, Timo
 

Graceful Scaling on Uniform Versus Steep-Tailed Noise
T. Friedrich, T. Kötzing, M.S. Krejca and A.M. Sutton
LNCS 9921, p. 761 ff.
Full chapter in PDF

 

On the Robustness of Evolving Populations
T. Friedrich, T. Kötzing and A.M. Sutton
LNCS 9921, p. 771 ff.
Full chapter in PDF

 

Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables
B. Doerr, C. Doerr and T. Kötzing
LNCS 9921, p. 782 ff.
Full chapter in PDF

 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 
Krejca, Martin S.
 

Graceful Scaling on Uniform Versus Steep-Tailed Noise
T. Friedrich, T. Kötzing, M.S. Krejca and A.M. Sutton
LNCS 9921, p. 761 ff.
Full chapter in PDF

 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 
Krichmar, Jeffrey L.
 

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
E.L. Rounds, E.O. Scott, A.S. Alexander, K.A. De Jong, D.A. Nitz and J.L. Krichmar
LNCS 9921, p. 537 ff.
Full chapter in PDF

 
Kriegman, Sam
 

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling
S. Kriegman, M. Szubert, J.C. Bongard and C. Skalka
LNCS 9921, p. 707 ff.
Full chapter in PDF

 
 L 

 
Lalla-Ruiz, Eduardo
 

Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems
E. Lalla-Ruiz, E. Segredo, S. Voß, E. Hart and B. Paechter
LNCS 9921, p. 134 ff.
Full chapter in PDF

 
Langdon, William B.
 

Optimising Quantisation Noise in Energy Measurement
W.B. Langdon, J. Petke and B.R. Bruce
LNCS 9921, p. 249 ff.
Full chapter in PDF

 

Kin Selection with Twin Genetic Programming
W.B. Langdon
LNCS 9921, p. 313 ff.
Full chapter in PDF

 
Lehre, Per Kristian
 

Self-adaptation of Mutation Rates in Non-elitist Populations
D.-C. Dang and P.K. Lehre
LNCS 9921, p. 803 ff.
Full chapter in PDF

 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Leung, Kwong-Sak
 

Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming
P.-K. Wong, M.-L. Wong and K.-S. Leung
LNCS 9921, p. 270 ff.
Full chapter in PDF

 
Li, Ke
 

Variable Interaction in Multi-objective Optimization Problems
K. Li, M.N. Omidvar, K. Deb and X. Yao
LNCS 9921, p. 399 ff.
Full chapter in PDF

 
Li, Zhenhua
 

What Does the Evolution Path Learn in CMA-ES?
Z. Li and Q. Zhang
LNCS 9921, p. 751 ff.
Full chapter in PDF

 
Liefooghe, Arnaud
 

Multi-objective Local Search Based on Decomposition
B. Derbel, A. Liefooghe, Q. Zhang, H. Aguirre and K. Tanaka
LNCS 9921, p. 431 ff.
Full chapter in PDF

 
Lorenzetti, George
 

Using Scaffolding with Partial Call-Trees to Improve Search
B. Alexander, C. Pyromallis, G. Lorenzetti and B. Zacher
LNCS 9921, p. 324 ff.
Full chapter in PDF

 
Lu, Ke
 

Improving Efficiency of Bi-level Worst Case Optimization
K. Lu, J. Branke and T. Ray
LNCS 9921, p. 410 ff.
Full chapter in PDF

 
Lu, Xiaofen
 

Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation
X. Lu, K. Tang and X. Yao
LNCS 9921, p. 203 ff.
Full chapter in PDF

 
Lung, Rodica Ioana
 

Community Structure Detection for the Functional Connectivity Networks of the Brain
R.I. Lung, M. Suciu, R. Meszlényi, K. Buza and N. Gaskó
LNCS 9921, p. 633 ff.
Full chapter in PDF

 
 M 

 
Malagò, Luigi
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Manfrini, Francisco A.L.
 

A Novel Efficient Mutation for Evolutionary Design of Combinational Logic Circuits
F.A.L. Manfrini, H.S. Bernardino and H.J.C. Barbosa
LNCS 9921, p. 665 ff.
Full chapter in PDF

 
Manoatl Lopez, Edgar
 

A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator
E. Manoatl Lopez and C.A. Coello Coello
LNCS 9921, p. 473 ff.
Full chapter in PDF

 
Mariano, Pedro
 

Cooperative Coevolution of Control for a Real Multirobot System
J. Gomes, M. Duarte, P. Mariano and A.L. Christensen
LNCS 9921, p. 591 ff.
Full chapter in PDF

 
Marino, Francesco
 

A General-Purpose Framework for Genetic Improvement
F. Marino, G. Squillero and A. Tonda
LNCS 9921, p. 345 ff.
Full chapter in PDF

 
Martí, Luis
 

Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
L. Martí, A. Fansi-Tchango, L. Navarro and M. Schoenauer
LNCS 9921, p. 697 ff.
Full chapter in PDF

 
Massey, M.K.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
Full chapter in PDF

 
Matalon-Eisenstadt, Erella
 

The Competing Travelling Salespersons Problem Under Multi-criteria
E. Matalon-Eisenstadt, A. Moshaiov and G. Avigad
LNCS 9921, p. 463 ff.
Full chapter in PDF

 
McCall, John
 

RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm
M. Ayodele, J. McCall and O. Regnier-Coudert
LNCS 9921, p. 849 ff.
Full chapter in PDF

 
McDermott, James
 

A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection
V.L. Cao, M. Nicolau and J. McDermott
LNCS 9921, p. 717 ff.
Full chapter in PDF

 
Medvet, Eric
 

Syntactical Similarity Learning by Means of Grammatical Evolution
A. Bartoli, A. De Lorenzo, E. Medvet and F. Tarlao
LNCS 9921, p. 260 ff.
Full chapter in PDF

 
Menges, Dino A.
 

Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA
S. Wessing, G. Rudolph and D.A. Menges
LNCS 9921, p. 558 ff.
Full chapter in PDF

 
Mentens, Nele
 

Evolving Cryptographic Pseudorandom Number Generators
S. Picek, D. Sisejkovic, V. Rozic, B. Yang, D. Jakobovic and N. Mentens
LNCS 9921, p. 613 ff.
Full chapter in PDF

 
Merelo, J.J.
 

An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm
C.M. Fernandes, J.J. Merelo and A.C. Rosa
LNCS 9921, p. 167 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Merelo, Juan J.
 

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms: Towards Energy-Aware Bioinspired Algorithms
F.F. de Vega, F. Chávez, J. Díaz, J.A. García, P.A. Castillo, J.J. Merelo and C. Cotta
LNCS 9921, p. 548 ff.
Full chapter in PDF

 
Meszlényi, Regina
 

Community Structure Detection for the Functional Connectivity Networks of the Brain
R.I. Lung, M. Suciu, R. Meszlényi, K. Buza and N. Gaskó
LNCS 9921, p. 633 ff.
Full chapter in PDF

 
Mezura-Montes, Efrén
 

On the Use of Semantics in Multi-objective Genetic Programming
E. Galván-López, E. Mezura-Montes, O. Ait ElHara and M. Schoenauer
LNCS 9921, p. 353 ff.
Full chapter in PDF

 
Miettinen, Kaisa
 

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization
T. Chugh, K. Sindhya, K. Miettinen, J. Hakanen and Y. Jin
LNCS 9921, p. 214 ff.
Full chapter in PDF

 

Towards Automatic Testing of Reference Point Based Interactive Methods
V. Ojalehto, D. Podkopaev and K. Miettinen
LNCS 9921, p. 483 ff.
Full chapter in PDF

 
Miguel Antonio, Luis
 

Decomposition-Based Approach for Solving Large Scale Multi-objective Problems
L. Miguel Antonio and C.A. Coello Coello
LNCS 9921, p. 525 ff.
Full chapter in PDF

 
Milani, Alfredo
 

An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs
M. Baioletti, A. Milani and V. Santucci
LNCS 9921, p. 123 ff.
Full chapter in PDF

 
Miller, Julian
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Minku, Leandro
 

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
X. Wu, P. Consoli, L. Minku, G. Ochoa and X. Yao
LNCS 9921, p. 37 ff.
Full chapter in PDF

 
Miranda, Luis F.
 

Reducing Dimensionality to Improve Search in Semantic Genetic Programming
L.O.V.B. Oliveira, L.F. Miranda, G.L. Pappa, F.E.B. Otero and R.H.C. Takahashi
LNCS 9921, p. 375 ff.
Full chapter in PDF

 
Moore, Jason H.
 

Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning
R.J. Urbanowicz, R.S. Olson and J.H. Moore
LNCS 9921, p. 514 ff.
Full chapter in PDF

 

Evolution of Active Categorical Image Classification via Saccadic Eye Movement
R.S. Olson, J.H. Moore and C. Adami
LNCS 9921, p. 581 ff.
Full chapter in PDF

 
Moshaiov, Amiram
 

The Competing Travelling Salespersons Problem Under Multi-criteria
E. Matalon-Eisenstadt, A. Moshaiov and G. Avigad
LNCS 9921, p. 463 ff.
Full chapter in PDF

 
 N 

 
Nagata, Yuichi
 

Population Diversity Measures Based on Variable-Order Markov Models for the Traveling Salesman Problem
Y. Nagata
LNCS 9921, p. 973 ff.
Full chapter in PDF

 
Nallaperuma, Samadhi
 

Feature-Based Diversity Optimization for Problem Instance Classification
W. Gao, S. Nallaperuma and F. Neumann
LNCS 9921, p. 869 ff.
Full chapter in PDF

 
Naujoks, Boris
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Navarro, Laurent
 

Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
L. Martí, A. Fansi-Tchango, L. Navarro and M. Schoenauer
LNCS 9921, p. 697 ff.
Full chapter in PDF

 
Neruda, Roman
 

Feature Extraction for Surrogate Models in Genetic Programming
M. Pilát and R. Neruda
LNCS 9921, p. 335 ff.
Full chapter in PDF

 
Neumann, Frank
 

Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem
M. Pourhassan, F. Shi and F. Neumann
LNCS 9921, p. 729 ff.
Full chapter in PDF

 

Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover
W. Gao, T. Friedrich and F. Neumann
LNCS 9921, p. 740 ff.
Full chapter in PDF

 

Feature-Based Diversity Optimization for Problem Instance Classification
W. Gao, S. Nallaperuma and F. Neumann
LNCS 9921, p. 869 ff.
Full chapter in PDF

 
Nguyen, Quang Uy
 

Tournament Selection Based on Statistical Test in Genetic Programming
T.H. Chu, Q.U. Nguyen and M. O’Neill
LNCS 9921, p. 303 ff.
Full chapter in PDF

 
Nichele, Stefano
 

Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata
S. Nichele, T.E. Glover and G. Tufte
LNCS 9921, p. 14 ff.
Full chapter in PDF

 
Nicolau, Miguel
 

A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection
V.L. Cao, M. Nicolau and J. McDermott
LNCS 9921, p. 717 ff.
Full chapter in PDF

 
Nitz, Douglas A.
 

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
E.L. Rounds, E.O. Scott, A.S. Alexander, K.A. De Jong, D.A. Nitz and J.L. Krichmar
LNCS 9921, p. 537 ff.
Full chapter in PDF

 
Nogueras, Rafael
 

A Study of the Performance of Self –  Memetic Algorithms on Heterogeneous Ephemeral Environments
R. Nogueras and C. Cotta
LNCS 9921, p. 91 ff.
Full chapter in PDF

 
Nojima, Yusuke
 

Use of Piecewise Linear and Nonlinear Scalarizing Functions in MOEA/D
H. Ishibuchi, K. Doi and Y. Nojima
LNCS 9921, p. 503 ff.
Full chapter in PDF

 
 O 

 
O’Neill, Michael
 

Tournament Selection Based on Statistical Test in Genetic Programming
T.H. Chu, Q.U. Nguyen and M. O’Neill
LNCS 9921, p. 303 ff.
Full chapter in PDF

 
Ochoa, Gabriela
 

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
X. Wu, P. Consoli, L. Minku, G. Ochoa and X. Yao
LNCS 9921, p. 37 ff.
Full chapter in PDF

 

Coarse-Grained Barrier Trees of Fitness Landscapes
S. Herrmann, G. Ochoa and F. Rothlauf
LNCS 9921, p. 901 ff.
Full chapter in PDF

 

Tunnelling Crossover Networks for the Asymmetric TSP
N. Veerapen, G. Ochoa, R. Tinós and D. Whitley
LNCS 9921, p. 994 ff.
Full chapter in PDF

 
Ojalehto, Vesa
 

Towards Automatic Testing of Reference Point Based Interactive Methods
V. Ojalehto, D. Podkopaev and K. Miettinen
LNCS 9921, p. 483 ff.
Full chapter in PDF

 
Oliveira, Luiz Otavio V.B.
 

Reducing Dimensionality to Improve Search in Semantic Genetic Programming
L.O.V.B. Oliveira, L.F. Miranda, G.L. Pappa, F.E.B. Otero and R.H.C. Takahashi
LNCS 9921, p. 375 ff.
Full chapter in PDF

 
Oliveto, Pietro S.
 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Olson, Randal S.
 

Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning
R.J. Urbanowicz, R.S. Olson and J.H. Moore
LNCS 9921, p. 514 ff.
Full chapter in PDF

 

Evolution of Active Categorical Image Classification via Saccadic Eye Movement
R.S. Olson, J.H. Moore and C. Adami
LNCS 9921, p. 581 ff.
Full chapter in PDF

 
Omidvar, Mohammad Nabi
 

Variable Interaction in Multi-objective Optimization Problems
K. Li, M.N. Omidvar, K. Deb and X. Yao
LNCS 9921, p. 399 ff.
Full chapter in PDF

 
Otero, Fernando E.B.
 

Reducing Dimensionality to Improve Search in Semantic Genetic Programming
L.O.V.B. Oliveira, L.F. Miranda, G.L. Pappa, F.E.B. Otero and R.H.C. Takahashi
LNCS 9921, p. 375 ff.
Full chapter in PDF

 
 P 

 
Paechter, Ben
 

Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems
E. Lalla-Ruiz, E. Segredo, S. Voß, E. Hart and B. Paechter
LNCS 9921, p. 134 ff.
Full chapter in PDF

 

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm
A. Steyven, E. Hart and B. Paechter
LNCS 9921, p. 921 ff.
Full chapter in PDF

 
Pappa, Gisele L.
 

Reducing Dimensionality to Improve Search in Semantic Genetic Programming
L.O.V.B. Oliveira, L.F. Miranda, G.L. Pappa, F.E.B. Otero and R.H.C. Takahashi
LNCS 9921, p. 375 ff.
Full chapter in PDF

 
Pearson, C.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
Full chapter in PDF

 
Petke, Justyna
 

Optimising Quantisation Noise in Energy Measurement
W.B. Langdon, J. Petke and B.R. Bruce
LNCS 9921, p. 249 ff.
Full chapter in PDF

 
Petty, M.C.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
Full chapter in PDF

 
Picek, Stjepan
 

Evolving Cryptographic Pseudorandom Number Generators
S. Picek, D. Sisejkovic, V. Rozic, B. Yang, D. Jakobovic and N. Mentens
LNCS 9921, p. 613 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Pilát, Martin
 

Feature Extraction for Surrogate Models in Genetic Programming
M. Pilát and R. Neruda
LNCS 9921, p. 335 ff.
Full chapter in PDF

 
Pillay, Nelishia
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Pitra, Zbyněk
 

Doubly Trained Evolution Control for the Surrogate CMA-ES
Z. Pitra, L. Bajer and M. Holeňa
LNCS 9921, p. 59 ff.
Full chapter in PDF

 
Podkopaev, Dmitry
 

Towards Automatic Testing of Reference Point Based Interactive Methods
V. Ojalehto, D. Podkopaev and K. Miettinen
LNCS 9921, p. 483 ff.
Full chapter in PDF

 
Popela, Pavel
 

WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm
D. Hrabec, P. Popela and J. Roupec
LNCS 9921, p. 655 ff.
Full chapter in PDF

 
Pourhassan, Mojgan
 

Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem
M. Pourhassan, F. Shi and F. Neumann
LNCS 9921, p. 729 ff.
Full chapter in PDF

 
Powell, Nathaniel
 

Exploring Uncertainty and Movement in Categorical Perception Using Robots
N. Powell and J. Bongard
LNCS 9921, p. 623 ff.
Full chapter in PDF

 
Preuss, Mike
 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Pugh, Justin K.
 

Searching for Quality Diversity When Diversity is Unaligned with Quality
J.K. Pugh, L.B. Soros and K.O. Stanley
LNCS 9921, p. 880 ff.
Full chapter in PDF

 
Pyromallis, Connie
 

Using Scaffolding with Partial Call-Trees to Improve Search
B. Alexander, C. Pyromallis, G. Lorenzetti and B. Zacher
LNCS 9921, p. 324 ff.
Full chapter in PDF

 
 Q 

 
Qian, Chao
 

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization
C. Qian, K. Tang and Z.-H. Zhou
LNCS 9921, p. 835 ff.
Full chapter in PDF

 
 R 

 
Ray, Tapabrata
 

Improving Efficiency of Bi-level Worst Case Optimization
K. Lu, J. Branke and T. Ray
LNCS 9921, p. 410 ff.
Full chapter in PDF

 
Regnier-Coudert, Olivier
 

RK-EDA: A Novel Random Key Based Estimation of Distribution Algorithm
M. Ayodele, J. McCall and O. Regnier-Coudert
LNCS 9921, p. 849 ff.
Full chapter in PDF

 
Ren, Zhilei
 

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability
Z. Ren, H. Jiang, J. Xuan, K. Tang and Y. Hu
LNCS 9921, p. 442 ff.
Full chapter in PDF

 
Rosa, A.C.
 

An Asynchronous and Steady State Update Strategy for the Particle Swarm Optimization Algorithm
C.M. Fernandes, J.J. Merelo and A.C. Rosa
LNCS 9921, p. 167 ff.
Full chapter in PDF

 
Rothlauf, Franz
 

Coarse-Grained Barrier Trees of Fitness Landscapes
S. Herrmann, G. Ochoa and F. Rothlauf
LNCS 9921, p. 901 ff.
Full chapter in PDF

 
Rounds, Emily L.
 

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
E.L. Rounds, E.O. Scott, A.S. Alexander, K.A. De Jong, D.A. Nitz and J.L. Krichmar
LNCS 9921, p. 537 ff.
Full chapter in PDF

 
Roupec, Jan
 

WS Network Design Problem with Nonlinear Pricing Solved by Hybrid Algorithm
D. Hrabec, P. Popela and J. Roupec
LNCS 9921, p. 655 ff.
Full chapter in PDF

 
Rowe, Jonathan E.
 

Simple Random Sampling Estimation of the Number of Local Optima
K. Alyahya and J.E. Rowe
LNCS 9921, p. 932 ff.
Full chapter in PDF

 
Rozic, Vladimir
 

Evolving Cryptographic Pseudorandom Number Generators
S. Picek, D. Sisejkovic, V. Rozic, B. Yang, D. Jakobovic and N. Mentens
LNCS 9921, p. 613 ff.
Full chapter in PDF

 
Rudolph, Günter
 

Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA
S. Wessing, G. Rudolph and D.A. Menges
LNCS 9921, p. 558 ff.
Full chapter in PDF

 
Ryser-Welch, Patricia
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
 S 

 
Santucci, Valentino
 

An Extension of Algebraic Differential Evolution for the Linear Ordering Problem with Cumulative Costs
M. Baioletti, A. Milani and V. Santucci
LNCS 9921, p. 123 ff.
Full chapter in PDF

 
Sanyang, Momodou L.
 

REMEDA: Random Embedding EDA for Optimising Functions with Intrinsic Dimension
M.L. Sanyang and A. Kabán
LNCS 9921, p. 859 ff.
Full chapter in PDF

 
Savéant, Pierre
 

Feature Based Algorithm Configuration: A Case Study with Differential Evolution
N. Belkhir, J. Dréo, P. Savéant and M. Schoenauer
LNCS 9921, p. 156 ff.
Full chapter in PDF

 
Schoenauer, Marc
 

Feature Based Algorithm Configuration: A Case Study with Differential Evolution
N. Belkhir, J. Dréo, P. Savéant and M. Schoenauer
LNCS 9921, p. 156 ff.
Full chapter in PDF

 

On the Use of Semantics in Multi-objective Genetic Programming
E. Galván-López, E. Mezura-Montes, O. Ait ElHara and M. Schoenauer
LNCS 9921, p. 353 ff.
Full chapter in PDF

 

Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
L. Martí, A. Fansi-Tchango, L. Navarro and M. Schoenauer
LNCS 9921, p. 697 ff.
Full chapter in PDF

 
Schork, Karin
 

Multi-objective Selection of Algorithm Portfolios: Experimental Validation
D. Horn, K. Schork and T. Wagner
LNCS 9921, p. 421 ff.
Full chapter in PDF

 
Scott, Eric O.
 

An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks
E.L. Rounds, E.O. Scott, A.S. Alexander, K.A. De Jong, D.A. Nitz and J.L. Krichmar
LNCS 9921, p. 537 ff.
Full chapter in PDF

 

Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise
E.O. Scott and K.A. De Jong
LNCS 9921, p. 952 ff.
Full chapter in PDF

 
Segredo, Eduardo
 

Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems
E. Lalla-Ruiz, E. Segredo, S. Voß, E. Hart and B. Paechter
LNCS 9921, p. 134 ff.
Full chapter in PDF

 
Sergiienko, Nataliia Y.
 

Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters
D.R. Arbonès, B. Ding, N.Y. Sergiienko and M. Wagner
LNCS 9921, p. 675 ff.
Full chapter in PDF

 
Shi, Feng
 

Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem
M. Pourhassan, F. Shi and F. Neumann
LNCS 9921, p. 729 ff.
Full chapter in PDF

 
Sindhya, Karthik
 

On Constraint Handling in Surrogate-Assisted Evolutionary Many-Objective Optimization
T. Chugh, K. Sindhya, K. Miettinen, J. Hakanen and Y. Jin
LNCS 9921, p. 214 ff.
Full chapter in PDF

 
Sisejkovic, Dominik
 

Evolving Cryptographic Pseudorandom Number Generators
S. Picek, D. Sisejkovic, V. Rozic, B. Yang, D. Jakobovic and N. Mentens
LNCS 9921, p. 613 ff.
Full chapter in PDF

 
Skalka, Christian
 

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling
S. Kriegman, M. Szubert, J.C. Bongard and C. Skalka
LNCS 9921, p. 707 ff.
Full chapter in PDF

 
Smith, Davy
 

Rapid Phenotypic Landscape Exploration Through Hierarchical Spatial Partitioning
D. Smith, L. Tokarchuk and G. Wiggins
LNCS 9921, p. 911 ff.
Full chapter in PDF

 
Soderlund, Jacob
 

Parallel Hierarchical Evolution of String Library Functions
J. Soderlund, D. Vickers and A. Blair
LNCS 9921, p. 281 ff.
Full chapter in PDF

 
Soros, L.B.
 

Searching for Quality Diversity When Diversity is Unaligned with Quality
J.K. Pugh, L.B. Soros and K.O. Stanley
LNCS 9921, p. 880 ff.
Full chapter in PDF

 
Squillero, Giovanni
 

A General-Purpose Framework for Genetic Improvement
F. Marino, G. Squillero and A. Tonda
LNCS 9921, p. 345 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Stanley, Kenneth O.
 

Searching for Quality Diversity When Diversity is Unaligned with Quality
J.K. Pugh, L.B. Soros and K.O. Stanley
LNCS 9921, p. 880 ff.
Full chapter in PDF

 
Steyven, Andreas
 

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm
A. Steyven, E. Hart and B. Paechter
LNCS 9921, p. 921 ff.
Full chapter in PDF

 
Stork, Jörg
 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Suciu, Mihai
 

Community Structure Detection for the Functional Connectivity Networks of the Brain
R.I. Lung, M. Suciu, R. Meszlényi, K. Buza and N. Gaskó
LNCS 9921, p. 633 ff.
Full chapter in PDF

 
Sudholt, Dirk
 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Sutton, Andrew M.
 

Graceful Scaling on Uniform Versus Steep-Tailed Noise
T. Friedrich, T. Kötzing, M.S. Krejca and A.M. Sutton
LNCS 9921, p. 761 ff.
Full chapter in PDF

 

On the Robustness of Evolving Populations
T. Friedrich, T. Kötzing and A.M. Sutton
LNCS 9921, p. 771 ff.
Full chapter in PDF

 

Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms
D.-C. Dang, T. Friedrich, T. Kötzing, M.S. Krejca, P.K. Lehre, P.S. Oliveto, D. Sudholt and A.M. Sutton
LNCS 9921, p. 890 ff.
Full chapter in PDF

 
Szubert, Marcin
 

Semantic Forward Propagation for Symbolic Regression
M. Szubert, A. Kodali, S. Ganguly, K. Das and J.C. Bongard
LNCS 9921, p. 364 ff.
Full chapter in PDF

 

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling
S. Kriegman, M. Szubert, J.C. Bongard and C. Skalka
LNCS 9921, p. 707 ff.
Full chapter in PDF

 
 T 

 
Takahashi, Ricardo H.C.
 

Reducing Dimensionality to Improve Search in Semantic Genetic Programming
L.O.V.B. Oliveira, L.F. Miranda, G.L. Pappa, F.E.B. Otero and R.H.C. Takahashi
LNCS 9921, p. 375 ff.
Full chapter in PDF

 
Tanabe, Ryoji
 

How Far Are We from an Optimal, Adaptive DE?
R. Tanabe and A. Fukunaga
LNCS 9921, p. 145 ff.
Full chapter in PDF

 
Tanaka, Kiyoshi
 

Multi-objective Local Search Based on Decomposition
B. Derbel, A. Liefooghe, Q. Zhang, H. Aguirre and K. Tanaka
LNCS 9921, p. 431 ff.
Full chapter in PDF

 
Tang, Ke
 

Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation
X. Lu, K. Tang and X. Yao
LNCS 9921, p. 203 ff.
Full chapter in PDF

 

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability
Z. Ren, H. Jiang, J. Xuan, K. Tang and Y. Hu
LNCS 9921, p. 442 ff.
Full chapter in PDF

 

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization
C. Qian, K. Tang and Z.-H. Zhou
LNCS 9921, p. 835 ff.
Full chapter in PDF

 
Tarlao, Fabiano
 

Syntactical Similarity Learning by Means of Grammatical Evolution
A. Bartoli, A. De Lorenzo, E. Medvet and F. Tarlao
LNCS 9921, p. 260 ff.
Full chapter in PDF

 
Thierens, Dirk
 

The Multiple Insertion Pyramid: A Fast Parameter-Less Population Scheme
W. den Besten, D. Thierens and P.A.N. Bosman
LNCS 9921, p. 48 ff.
Full chapter in PDF

 
Thorhauer, Ann
 

On the Non-uniform Redundancy in Grammatical Evolution
A. Thorhauer
LNCS 9921, p. 292 ff.
Full chapter in PDF

 
Tinós, Renato
 

Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization
R. Tinós and S. Yang
LNCS 9921, p. 225 ff.
Full chapter in PDF

 

Tunnelling Crossover Networks for the Asymmetric TSP
N. Veerapen, G. Ochoa, R. Tinós and D. Whitley
LNCS 9921, p. 994 ff.
Full chapter in PDF

 
Tokarchuk, Laurissa
 

Rapid Phenotypic Landscape Exploration Through Hierarchical Spatial Partitioning
D. Smith, L. Tokarchuk and G. Wiggins
LNCS 9921, p. 911 ff.
Full chapter in PDF

 
Tonda, Alberto
 

A General-Purpose Framework for Genetic Improvement
F. Marino, G. Squillero and A. Tonda
LNCS 9921, p. 345 ff.
Full chapter in PDF

 

Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
Full chapter in PDF

 
Trautmann, Heike
 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
Full chapter in PDF

 
Tufte, Gunnar
 

Genotype Regulation by Self-modifying Instruction-Based Development on Cellular Automata
S. Nichele, T.E. Glover and G. Tufte
LNCS 9921, p. 14 ff.
Full chapter in PDF

 
 U 

 
Urbanowicz, Ryan J.
 

Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning
R.J. Urbanowicz, R.S. Olson and J.H. Moore
LNCS 9921, p. 514 ff.
Full chapter in PDF

 
 V 

 
van der Blom, Koen
 

Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms
K. van der Blom, S. Boonstra, H. Hofmeyer and M.T.M. Emmerich
LNCS 9921, p. 453 ff.
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Veerapen, Nadarajen
 

Tunnelling Crossover Networks for the Asymmetric TSP
N. Veerapen, G. Ochoa, R. Tinós and D. Whitley
LNCS 9921, p. 994 ff.
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Verel, Sébastien
 

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods
C. Jankee, S. Verel, B. Derbel and C. Fonlupt
LNCS 9921, p. 80 ff.
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Vickers, Darwin
 

Parallel Hierarchical Evolution of String Library Functions
J. Soderlund, D. Vickers and A. Blair
LNCS 9921, p. 281 ff.
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Vissol-Gaudin, E.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
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Voß, Stefan
 

Analysing the Performance of Migrating Birds Optimisation Approaches for Large Scale Continuous Problems
E. Lalla-Ruiz, E. Segredo, S. Voß, E. Hart and B. Paechter
LNCS 9921, p. 134 ff.
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 W 

 
Wagner, Markus
 

Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters
D.R. Arbonès, B. Ding, N.Y. Sergiienko and M. Wagner
LNCS 9921, p. 675 ff.
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Wagner, Tobias
 

Multi-objective Selection of Algorithm Portfolios: Experimental Validation
D. Horn, K. Schork and T. Wagner
LNCS 9921, p. 421 ff.
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Walker, David J.
 

Towards Many-Objective Optimisation with Hyper-heuristics: Identifying Good Heuristics with Indicators
D.J. Walker and E. Keedwell
LNCS 9921, p. 493 ff.
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Wang, Hao
 

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes
P. Kerschke, H. Wang, M. Preuss, C. Grimme, A. Deutz, H. Trautmann and M. Emmerich
LNCS 9921, p. 962 ff.
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Wanner, Elizabeth F.
 

Lyapunov Design of a Simple Step-Size Adaptation Strategy Based on Success
C.R. Correa, E.F. Wanner and C.M. Fonseca
LNCS 9921, p. 101 ff.
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Wessing, Simon
 

Comparing Asynchronous and Synchronous Parallelization of the SMS-EMOA
S. Wessing, G. Rudolph and D.A. Menges
LNCS 9921, p. 558 ff.
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Whitley, Darrell
 

Tunnelling Crossover Networks for the Asymmetric TSP
N. Veerapen, G. Ochoa, R. Tinós and D. Whitley
LNCS 9921, p. 994 ff.
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Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
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Wiggins, Geraint
 

Rapid Phenotypic Landscape Exploration Through Hierarchical Spatial Partitioning
D. Smith, L. Tokarchuk and G. Wiggins
LNCS 9921, p. 911 ff.
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Wong, Man-Leung
 

Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming
P.-K. Wong, M.-L. Wong and K.-S. Leung
LNCS 9921, p. 270 ff.
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Wong, Pak-Kan
 

Hierarchical Knowledge in Self-Improving Grammar-Based Genetic Programming
P.-K. Wong, M.-L. Wong and K.-S. Leung
LNCS 9921, p. 270 ff.
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Wróbel, Borys
 

Evolution of Spiking Neural Networks Robust to Noise and Damage for Control of Simple Animats
B. Wróbel
LNCS 9921, p. 686 ff.
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Wu, Xiuli
 

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
X. Wu, P. Consoli, L. Minku, G. Ochoa and X. Yao
LNCS 9921, p. 37 ff.
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 X 

 
Xuan, Jifeng
 

Analyzing Inter-objective Relationships: A Case Study of Software Upgradability
Z. Ren, H. Jiang, J. Xuan, K. Tang and Y. Hu
LNCS 9921, p. 442 ff.
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 Y 

 
Yang, Bohan
 

Evolving Cryptographic Pseudorandom Number Generators
S. Picek, D. Sisejkovic, V. Rozic, B. Yang, D. Jakobovic and N. Mentens
LNCS 9921, p. 613 ff.
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Yang, Guangwen
 

TADE: Tight Adaptive Differential Evolution
W. Zheng, H. Fu and G. Yang
LNCS 9921, p. 113 ff.
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Yang, Jing
 

k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation
B. Doerr, C. Doerr and J. Yang
LNCS 9921, p. 824 ff.
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Yang, Shengxiang
 

Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization
R. Tinós and S. Yang
LNCS 9921, p. 225 ff.
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Convergence Versus Diversity in Multiobjective Optimization
S. Jiang and S. Yang
LNCS 9921, p. 984 ff.
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Yao, Xin
 

An Evolutionary Hyper-heuristic for the Software Project Scheduling Problem
X. Wu, P. Consoli, L. Minku, G. Ochoa and X. Yao
LNCS 9921, p. 37 ff.
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Speciated Evolutionary Algorithm for Dynamic Constrained Optimisation
X. Lu, K. Tang and X. Yao
LNCS 9921, p. 203 ff.
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Variable Interaction in Multi-objective Optimization Problems
K. Li, M.N. Omidvar, K. Deb and X. Yao
LNCS 9921, p. 399 ff.
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 Z 

 
Zacher, Brad
 

Using Scaffolding with Partial Call-Trees to Improve Search
B. Alexander, C. Pyromallis, G. Lorenzetti and B. Zacher
LNCS 9921, p. 324 ff.
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Zaefferer, Martin
 

Efficient Global Optimization with Indefinite Kernels
M. Zaefferer and T. Bartz-Beielstein
LNCS 9921, p. 69 ff.
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Tutorials at PPSN 2016
C. Doerr, N. Bredeche, E. Alba, T. Bartz-Beielstein, D. Brockhoff, B. Doerr, G. Eiben, M.G. Epitropakis, C.M. Fonseca, A. Guerreiro, E. Haasdijk, J. Heinerman, J. Hubert, P.K. Lehre, L. Malagò, J.J. Merelo, J. Miller, B. Naujoks, P. Oliveto, S. Picek, N. Pillay, M. Preuss, P. Ryser-Welch, G. Squillero, J. Stork, D. Sudholt, A. Tonda, D. Whitley and M. Zaefferer
LNCS 9921, p. 1012 ff.
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Zarges, Christine
 

Example Landscapes to Support Analysis of Multimodal Optimisation
T. Jansen and C. Zarges
LNCS 9921, p. 792 ff.
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The Workshops at PPSN 2016
C. Blum and C. Zarges
LNCS 9921, p. 1007 ff.
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Zeze, D.A.
 

Data Classification Using Carbon-Nanotubes and Evolutionary Algorithms
E. Vissol-Gaudin, A. Kotsialos, M.K. Massey, D.A. Zeze, C. Pearson, C. Groves and M.C. Petty
LNCS 9921, p. 644 ff.
Full chapter in PDF

 
Zhang, Qingfu
 

Multi-objective Local Search Based on Decomposition
B. Derbel, A. Liefooghe, Q. Zhang, H. Aguirre and K. Tanaka
LNCS 9921, p. 431 ff.
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What Does the Evolution Path Learn in CMA-ES?
Z. Li and Q. Zhang
LNCS 9921, p. 751 ff.
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Zheng, Weijie
 

TADE: Tight Adaptive Differential Evolution
W. Zheng, H. Fu and G. Yang
LNCS 9921, p. 113 ff.
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Zhou, Zhi-Hua
 

Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization
C. Qian, K. Tang and Z.-H. Zhou
LNCS 9921, p. 835 ff.
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