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Proceedings Table of Contents

Chair's Welcome
Frank Neumann (GECCO 2016 General Chair, The University of Adelaide, Australia )

GECCO 2016 Organization

Keynote Talks

Evolutionary Multiobjective Optimization

Ant Colony Optimization and Swarm Intelligence

Genetic Algorithms

Artificial Immune Systems and Biological …

Genetic Programming

Complex Systems (Artificial Life/…

Integrative Genetic and Evolutionary Computation

Continuous Optimization

Parallel Evolutionary Systems

Digital Entertainment Technologies and Arts

Real World Applications

Evolutionary Combinatorial Optimization an….

Search-Based Software Engineering …

Evolutionary Machine Learning

Theory

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Keynote Talks

The Challenges of Natural Algorithms (Page 1)
Bernard Chazelle (Princeton University)

Taming the Complexity Monster or: How I Learned to Stop Worrying and Love Hard Problems (Page 3)
Holger H. Hoos (University of British Columbia)

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Session: Ant Colony Optimization and Swarm Intelligence

Relaxing Consensus in Distributed Factored Evolutionary Algorithms (Page 5)
Stephyn Butcher (Johns Hopkins University)
Shane Strasser (Montana State University)
Jenna Hoole (Whitworth University)
Benjamin Demeo (Williams College)
John Sheppard (Montana State University)

A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm (Page 13)
Ayah Helal (University of Kent)
Fernando E. B. Otero (University of Kent)

ACO-inspired Acceleration of Gossip Averaging (Page 21)
Andreas Janecek (University of Vienna)
Wilfried N. Gansterer (University of Vienna)

Curvature Flight Path for Particle Swarm Optimisation (Page 29)
Cheng Wai Kheng (Universiti Tunku Abdul Rahman)
Day Chyi Ku (Multimedia University)
Hui Fuang Ng (Universiti Tunku Abdul Rahman)
Mahmoud Khattab (University of Nottingham (Malaysia Campus))
Siang Yew Chong (University of Nottingham (Malaysia Campus))

The Influence of Heredity Models on Adaptability in Evolutionary Swarms (Page 37)
Ruby L. V. Moritz (Otto-von-Guericke-Universität Magdeburg)
Sanaz Mostaghim (Otto-von-Guericke-Universität Magdeburg)

Using Mutual Information to Build Dynamic Neighbourhoods for Particle Swarm Optimisation (Page 45)
Ángel Arturo Rojas-García (Center for Research in Mathematics)
Arturo Hernández-Aguirre (Center for Research in Mathematics)

A New Discrete Particle Swarm Optimization Algorithm (Page 53)
Shane Strasser (Montana State University)
Rollie Goodman (Montana State University)
John Sheppard (Montana State University)
Stephyn Butcher (Johns Hopkins University)

Update Strength in EDAs and ACO: How to Avoid Genetic Drift (Page 61)
Dirk Sudholt (University of Sheffield)
Carsten Witt (Technical University of Denmark)

Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition (Page 69)
Saúl Zapotecas-Martínez (Shinshu University)
Alberto Moraglio (University of Exeter)
Hernán E. Aguirre (Shinshu University)
Kiyoshi Tanaka (Shinshu University)

 

Track: Artificial Immune Systems and Biological and Biomedical Applications

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A Novel EA-based Memetic Approach for Efficiently Mapping Complex Fitness Landscapes (Page 85)
Emmanuel Sapin (George Mason University)
Kenneth De Jong (George Mason University)
Amarda Shehu (George Mason University)

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Track: Complex Systems (Artificial Life/Robotics/Evolvable Hardware/Generative and Developmental Systems)

EvoRBC: Evolutionary Repertoire-based Control for Robots with Arbitrary Locomotion Complexity (Page 93)
Miguel Duarte (BioMachines Lab, Instituto de Telecomunicações & Instituto Universitário de Lisboa (ISCTE-IUL))
Jorge Gomes (BioMachines Lab, Instituto de Telecomunicações & BioISI)
Sancho Moura Oliveira (BioMachines Lab, Instituto de Telecomunicações & Instituto Universitário de Lisboa (ISCTE-IUL))
Anders Lyhne Christensen (BioMachines Lab, Instituto de Telecomunicações & Instituto Universitário de Lisboa (ISCTE-IUL))

Quantifying Deception: A Case Study in the Evolution of Antimicrobial Resistance (Page 101)
Margaret J. Eppstein (University of Vermont)
C. Brandon Ogbunugafor (University of Vermont)

Convolution by Evolution: Differentiable Pattern Producing Networks (Page 109)
Chrisantha Fernando (Google DeepMind)
Dylan Banarse (Google DeepMind)
Malcolm Reynolds (Google DeepMind)
Frederic Besse (Google DeepMind)
David Pfau (Google DeepMind)
Max Jaderberg (Google DeepMind)
Marc Lanctot (Google DeepMind)
Daan Wierstra (Google DeepMind)

Evolving Neural Turing Machines for Reward-based Learning (Page 117)
Rasmus Boll Greve (IT University of Copenhagen)
Emil Juul Jacobsen (IT University of Copenhagen)
Sebastian Risi (IT University of Copenhagen)

Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks? (Page 125)
Joost Huizinga (University of Wyoming)
Jean-Baptiste Mouret (University of Lorraine)
Jeff Clune (University of Wyoming)

Accelerating the Evolution of Cognitive Behaviors Through Human-Computer Collaboration (Page 133)
Mathias Löwe (IT Univeristy of Copenhagen)
Sebastian Risi (IT Univeristy of Copenhagen)

Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It (Page 141)
Henok Mengistu (University of Wyoming)
Joel Lehman (IT University of Copenhagen)
Jeff Clune (University of Wyoming)

Learning Behavior Characterizations for Novelty Search (Page 149)
Elliot Meyerson (The University of Texas at Austin & Sentient Technologies, Inc.)
Joel Lehman (IT University of Copenhagen)
Risto Miikkulainen (The University of Texas at Austin & Sentient Technologies, Inc.)

Neuromodulation Improves the Evolution of Forward Models (Page 157)
Mohammad Sadegh Norouzzadeh (University of Wyoming)
Jeff Clune (University of Wyoming)

Inspiration-Triggered Search: Towards Higher Complexities by Mimicking Creative Processes (Page 165)
Milan Rybář (University of Paderborn)
Heiko Hamann (University of Paderborn)

How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? (Page 173)
Danesh Tarapore (University of York)
Jeff Clune (University of Wyoming)
Antoine Cully (Imperial College)
Jean-Baptiste Mouret (Inria)

Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression (Page 181)
Roby Velez (University of Wyoming)
Jeff Clune (University of Wyoming)

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Track: Continuous Optimization

Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking (Page 189)
Ouassim Ait ElHara (Université Paris-Sud)
Anne Auger (Inria Saclay)
Nikolaus Hansen (Inria Saclay)

Projection-Based Restricted Covariance Matrix Adaptation for High Dimension (Page 197)
Youhei Akimoto (Shinshu University)
Nikolaus Hansen (Inria & Univerité Paris-Saclay)

Analysis of Different Types of Regret in Continuous Noisy Optimization (Page 205)
Sandra Astete-Morales (INRIA & Univerité Paris-Saclay)
Marie-Liesse Cauwet (INRIA & Univerité Paris-Saclay)
Olivier Teytaud (INRIA & Univerité Paris-Saclay)

Analysis of Linear Convergence of a (1 + 1)-ES with Augmented Lagrangian Constraint Handling (Page 213)
Asma Atamna (Inria & Univerité Paris-Saclay)
Anne Auger (Inria & Univerité Paris-Saclay)
Nikolaus Hansen (Inria & Univerité Paris-Saclay)

Experimental Investigation of Recombination Operators for Differential Evolution (Page 221)
Felipe Campelo (Universidade Federal de Minas Gerais)
Moisés Botelho (Universidade Federal de Minas Gerais)

Low-Budget Exploratory Landscape Analysis on Multiple Peaks Models (Page 229)
Pascal Kerschke (University of Münster)
Mike Preuss (University of Münster)
Simon Wessing (TU Dortmund)
Heike Trautmann (University of Münster)

Population Size Adaptation for the CMA-ES Based on the Estimation Accuracy of the Natural Gradient (Page 237)
Kouhei Nishida (Shinshu University)
Youhei Akimoto (Shinshu University)

Two-Dimensional Barcode Decoration Using Module-wise Non-systematic Coding and Cooperative Evolution by User and System (Page 245)
Makoto Kamizono (Kagoshima University)
Kigo Shimomura (Kagoshima University)
Masayuki Tajiri (Kagoshima University)
Satoshi Ono (Kagoshima University)

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Track: Digital Entertainment Technologies and Arts

General Video Game Level Generation (Page 253)
Ahmed Khalifa (New York University)
Diego Perez-Liebana (University of Essex)
Simon M. Lucas (University of Essex)
Julian Togelius (New York University)

Evotype: From Shapes to Glyphs (Page 261)
Tiago Martins (University of Coimbra)
João Correia (University of Coimbra)
Ernesto Costa (University of Coimbra)
Penousal Machado (University of Coimbra)

Demonstrating the Feasibility of Automatic Game Balancing (Page 269)
Vanessa Volz (TU Dortmund University)
Günter Rudolph (TU Dortmund University)
Boris Naujoks (TH Köln)

Discovering Combos in Fighting Games with Evolutionary Algorithms (Page 277)
Gianlucca L. Zuin (Universidade Federal de Minas Gerais)
Yuri P. A. Macedo (Universidade Federal de Minas Gerais)
Luiz Chaimowicz (Universidade Federal de Minas Gerais)
Gisele L. Pappa (Universidade Federal de Minas Gerais)

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Track: Evolutionary Combinatorial Optimization and Metaheuristics

Extension of the CMSA Algorithm: An LP-based Way for Reducing Sub-instances (Page 285)
Christian Blum (Ikerbasque and University of the Basque Country UPV/EHU)
Jordi Pereira (Universidad Adolfo Ibáñez)

Fast Heuristics for the Multiple Traveling Thieves Problem (Page 293)
Shelvin Chand (University of New South Wales)
Markus Wagner (The University of Adelaide)

Cellular Genetic Algorithm for Solving a Routing On-Demand Transit Problem (Page 301)
Olfa Chebbi (Higher Institute of Management of Tunis)
Ezzeddine Fatnassi (Higher Institute of Management of Tunis)
Jouhaina Chaouachi (IHEC)
Nouha Nouri (Higher Institute of Management of Tunis)

Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems (Page 309)
Francisco Chicano (University of Malaga)
Darrell Whitley (Colorado State University)
Renato Tinós (University of São Paulo)

Population-based vs. Single-solution Heuristics for the Travelling Thief Problem (Page 317)
Mohamed El Yafrani (Mohammed V University in Rabat)
Belaïd Ahiod (Mohammed V University in Rabat)

Communities of Local Optima as Funnels in Fitness Landscapes (Page 325)
Sebastian Herrmann (Johannes Gutenberg-Universität)
Gabriela Ochoa (University of Stirling)
Franz Rothlauf (Johannes Gutenberg-Universität)

A Population-based Local Search Technique with Random Descent and Jump for the Steiner Tree Problem in Graphs (Page 333)
Angus Kenny (RMIT University)
Xiaodong Li (RMIT University)
A. K. Qin (RMIT University)
Andreas T. Ernst (Monash University)

A Simulated Annealing Algorithm for Maximum Common Edge Subgraph Detection in Biological Networks (Page 341)
Simon J. Larsen (University of Southern Denmark)
Frederik G. Alkærsig (University of Southern Denmark)
Henrik J. Ditzel (University of Southern Denmark)
Igor Jurisica (Princess Margaret Cancer Centre)
Nicolas Alcaraz (University of Southern Denmark)
Jan Baumbach (University of Southern Denmark)

Multi-objective Neutral Neighbors? What could be the definition(s)? (Page 349)
Marie-Eléonore Marmion (University Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL, Inria)
Hernan Aguirre (Shinshu University)
Clarisse Dhaenens (University Lille, CNRS & Inria)
Laetitia Jourdan (University Lille, CNRS & Inria)
Kiyoshi Tanaka (Shinshu University)

HMOBEDA: Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm (Page 357)
Marcella S. R. Martins (Federal University of Technology - Paraná (UTFPR))
Myriam R. B. S. Delgado (Federal University of Technology - Paraná (UTFPR))
Roberto Santana (University of the Basque Country (UPV/EHU))
Ricardo Lüders (Federal University of Technology - Paraná (UTFPR))
Richard Aderbal Gonçalves (Midwest State University of Parana (UNICENTRO))
Carolina Paula de Almeida (Midwest State University of Parana (UNICENTRO))

Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming (Page 365)
Yi Mei (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)
Su Nyugen (Hoa Sen University)

Additional Dimensions to the Study of Funnels in Combinatorial Landscapes (Page 373)
Gabriela Ochoa (University of Stirling)
Nadarajen Veerapen (University of Stirling)

Multi-hard Problems in Uncertain Environment (Page 381)
Michał Roman Przybylek (Polish-Japanese Academy of Information Technology)
Adam Wierzbicki (Polish-Japanese Academy of Information Technology)
Zbigniew Michalewicz (The University of Adelaide)

Ants can Learn from the Opposite (Page 389)
Nicolás Rojas-Morales (Universidad Técnica Federico Santa María)
María-Cristina Riff R. (Universidad Técnica Federico Santa María)
Elizabeth Montero (Universidad Técnica Federico Santa María)

Evolutionary Approaches to Optimization Problems in Chimera Topologies (Page 397)
Roberto Santana (University of the Basque Country (UPV/EHU))
Zheng Zhu (Texas A&M University)
Helmut G. Katzgraber (Texas A&M University)

Game theory, Extremal optimization, and Community Structure Detection in Complex Networks (Page 405)
Mihai Suciu (Babeş-Bolyai University)
Rodica Ioana Lung (Babeş-Bolyai University)
Noémi Gaskó (Babeş-Bolyai University)

On the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack Problem (Page 413)
Junhua Wu (University of Adelaide)
Sergey Polyakovskiy (University of Adelaide)
Frank Neumann (University of Adelaide)

On the Design of Hard mUBQP Instances (Page 421)
Murilo Zangari (Federal University of Parana)
Roberto Santana (University of the Basque Country (UPV/EHU))
Alexander Mendiburu (University of the Basque Country (UPV/EHU))
Aurora Pozo (Federal University of Parana)

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Track: Evolutionary Machine Learning

Human-inspired Scaling in Learning Classifier Systems: Case Study on the n-bit Multiplexer Problem Set (Page 429)
Isidro M. Alvarez (Victoria University of Wellington)
Will N. Browne (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)

Using an Ant Colony Optimization Algorithm for Monotonic Regression Rule Discovery (Page 437)
James Brookhouse (University of Kent)
Fernando E. B. Otero (University of Kent)

Evolving Probabilistically Significant Epistatic Classification Rules for Heterogeneous Big Datasets (Page 445)
John P. Hanley (University of Vermont)
Margaret J. Eppstein (University of Vermont)
Jeffrey S. Buzas (University of Vermont)
Donna M. Rizzo (University of Vermont)

Transferable XCS (Page 453)
Xianneng Li (Dalian University of Technology)
Guangfei Yang (Dalian University of Technology)

Improving the Canny Edge Detector Using Automatic Programming: Improving Non-Max Suppression (Page 461)
Lars Vidar Magnusson (Østfold University College)
Roland Olsson (Østfold University College)

Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference (Page 469)
Yi Mei (Victoria University of Wellington)
Bing Xue (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)

Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks (Page 477)
Gregory Morse (University of Central Florida)
Kenneth O. Stanley (University of Central Florida)

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science (Page 485)
Randal S. Olson (University of Pennsylvania)
Nathan Bartley (University of Chicago)
Ryan J. Urbanowicz (University of Pennsylvania)
Jason H. Moore (University of Pennsylvania)

A Hybrid Approach for Sleep Stages Classification (Page 493)
Abdelhamid Ouanes (University of Tunis)
Lilia Rejeb (University of Tunis)

Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective (Page 501)
Aditya Rawal (University of Texas at Austin)
Risto Miikkulainen (University of Texas at Austin)

A New Evaluation Function for Clustering: The NK Internal Validation Criterion (Page 509)
Renato Tinós (University of São Paulo)
Zhao Liang (University of São Paulo)
Francisco Chicano (University of Málaga)
Darrell Whitley (Colorado State University)

A Wavelet-based Encoding for Neuroevolution (Page 517)
Sjoerd van Steenkiste (Maastricht University)
Jan Koutník (IDSIA, USI & SUPSI)
Kurt Driessens (Maastricht University)
Jürgen Schmidhuber (IDSIA, USI & SUPSI)

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Track: Evolutionary Multiobjective Optimization

Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients (Page 525)
Mohamed Abouhawwash (Mansoura University)
Kalyanmoy Deb (Michigan State University)

Tuning of Multiple Parameter Sets in Evolutionary Algorithms (Page 533)
Martin Andersson (University of Skövde)
Sunith Bandaru (University of Skövde)
Amos H.C. Ng (University of Skövde)

Experiments on Greedy and Local Search Heuristics for d-dimensional Hypervolume Subset Selection (Page 541)
Matthieu Basseur (LERIA, Université d'Angers)
Bilel Derbel (University Lille - Nord Europe)
Adrien Goëffon (LERIA, Université d'Angers)
Arnaud Liefooghe (University Lille - Nord Europe)

Bio-inspired Multi-objective Optimization Design of a Highly Efficient Squirrel Cage Induction Motor (Page 549)
Sergio F. Contreras (Universidad Nacional de Colombia)
Camilo A. Cortés (Universidad Nacional de Colombia)
María A. Guzmán (Universidad Nacional de Colombia)

Runtime Analysis of Evolutionary Diversity Maximization for OneMinMax (Page 557)
Benjamin Doerr (École Polytechnique)
Wanru Gao (The University of Adelaide)
Frank Neumann (The University of Adelaide)

A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates (Page 565)
Raquel Hernández Gómez (CINVESTAV-IPN)
Carlos A. Coello Coello (CINVESTAV-IPN)
Enrique Alba Torres (University of Málaga)

A Generative Kriging Surrogate Model for Constrained and Unconstrained Multi-objective Optimization (Page 573)
Rayan Hussein (Michigan State University)
Kalyanmoy Deb (Michigan State University)

A Correlation Analysis of Set Quality Indicator Values in Multiobjective Optimization (Page 581)
Arnaud Liefooghe (University Lille - Nord Europe)
Bilel Derbel (University Lille - Nord Europe)

Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design (Page 589)
Siamak Safarzadegan Gilan (Georgia Institute of Technology)
Naman Goyal (Georgia Institute of Technology)
Bistra Dilkina (Georgia Institute of Technology)

A Toolkit for Generating Scalable Stochastic Multiobjective Test Problems (Page 597)
Shaul Salomon (University of Sheffield)
Robin C. Purshouse (University of Sheffield)
Ioannis Giaghiozis (University of Sheffield)
Peter J. Fleming (University of Sheffield)

A Novel Multi-objective Optimization-based Image Registration Method (Page 605)
Meifeng Shi (Chongqing University)
Zhongshi He (Chongqing University)
Ziyu Chen (Chongqing University)
Hang Zhang (Chongqing University)

A Faster Algorithm for the Binary Epsilon Indicator Based on Orthant Minimum Search (Page 613)
Andrey Vasin (ITMO University)
Maxim Buzdalov (ITMO University)

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Track: Genetic Algorithms

Hidden Genes Genetic Algorithms for Systems Architecture Optimization (Page 629)
Ossama Abdelkhalik (Michigan Tech University)
Shadi Darani (Michigan Tech University)

Expanding from Discrete Cartesian to Permutation Gene-pool Optimal Mixing Evolutionary Algorithms (Page 637)
Peter A. N. Bosman (Centrum Wiskunde & Informatica (CWI))
Ngoc Hoang Luong (Centrum Wiskunde & Informatica (CWI))
Dirk Thierens (Utrecht University)

Escaping Local Optima with Diversity Mechanisms and Crossover (Page 645)
Duc-Cuong Dang (University of Nottingham)
Tobias Friedrich (Hasso Plattner Institute)
Timo Kötzing (Hasso Plattner Institute)
Martin S. Krejca (Hasso Plattner Institute)
Per Kristian Lehre (University of Nottingham)
Pietro S. Oliveto (University of Sheffield)
Dirk Sudholt (University of Sheffield)
Andrew M. Sutton (Hasso Plattner Institute)

Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm (Page 653)
Kalyanmoy Deb (Michigan State University)
Christie Myburgh (Maptek Pty Ltd)

Fast Building Block Assembly by Majority Vote Crossover (Page 661)
Tobias Friedrich (Hasso Plattner Institute)
Timo Kötzing (Hasso Plattner Institute)
Martin S. Krejca (Hasso Plattner Institute)
Samadhi Nallaperuma (The University of Sheffield)
Frank Neumann (The University of Adelaide)
Martin Schirneck (Hasso Plattner Institute)

Runtime Analysis for the Parameter-less Population Pyramid (Page 669)
Brian W. Goldman (Colorado State University)
Dirk Sudholt (University of Sheffield)

Surprise Search: Beyond Objectives and Novelty (Page 677)
Daniele Gravina (University of Malta)
Antonios Liapis (University of Malta)
Georgios Yannakakis (University of Malta)

A Parallel Hybrid Genetic Algorithm for the k-Edge-Connected Hop-Constrained Network Design Problem (Page 685)
Mohamed Khalil Labidi (Sciences of Tunis & Paris Dauphine University)
Ibrahima Diarrassouba (Le Havre University)
Ali Ridha Mahjoub (Paris Dauphine University)
Anissa Omrane (Sciences of Tunis)

Estimating the Advantage of Age-Layering in Evolutionary Algorithms (Page 693)
Hormoz Shahrzad (Sentient Technologies, Inc.)
Babak Hodjat (Sentient Technologies, Inc.)
Risto Miikkulainen (Sentient Technologies, Inc. & The University of Texas at Austin)

Exploiting Diverse Distance Metrics for Surrogate-Based Optimisation of Ordering Problems: A Case Study (Page 701)
Jim Smith (University of the West of England)
Christopher Stone (University of the West of England)
Martin Serpell (University of the West of England)

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Track: Genetic Programming

Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation (Page 709)
Qi Chen (Victoria University of Wellington)
Bing Xue (Victoria University of Wellington)
Lin Shang (Nanjing University)
Mengjie Zhang (Victoria University of Wellington)

The Impact of Hyperselection on Lexicase Selection (Page 717)
Thomas Helmuth (Washington and Lee University)
Nicholas Freitag McPhee (University of Minnesota, Morris)
Lee Spector (Hampshire College)

Automatically Designing More General Mutation Operators of Evolutionary Programming for Groups of Function Classes Using a Hyper-Heuristic (Page 725)
Libin Hong (University of Nottingham)
John H. Drake (University of Nottingham)
John R. Woodward (University of Stirling)
Ender Özcan (University of Nottingham)

Quantitative Analysis of Evolvability using Vertex Centralities in Phenotype Network (Page 733)
Ting Hu (Memorial University)
Wolfgang Banzhaf (Memorial University)

(Epsilon)-Lexicase Selection for Regression (Page 741)
William La Cava (University of Massachusetts, Amherst)
Lee Spector (Hampshire College)
Kourosh Danai (University of Massachusetts, Amherst)

Non-negative Matrix Factorization for Unsupervised Derivation of Search Objectives in Genetic Programming (Page 749)
Paweł Liskowski (Poznan University of Technology)
Krzysztof Krawiec (Poznan University of Technology)

A New Wave: A Dynamic Approach to Genetic Programming (Page 757)
David Medernach (University of Limerick)
Jeannie Fitzgerald (University of Limerick)
R. Muhammad Atif Azad (University of Limerick)
Conor Ryan (University of Limerick)

Managing Repetition in Grammar-Based Genetic Programming (Page 765)
Miguel Nicolau (University College Dublin)
Michael Fenton (University College Dublin)

A Dispersion Operator for Geometric Semantic Genetic Programming (Page 773)
Luiz Otavio V. B. Oliveira (Federal University of Minas Gerais)
Fernando E. B. Otero (University of Kent)
Gisele L. Pappa (Federal University of Minas Gerais)

Evolving Algebraic Constructions for Designing Bent Boolean Functions (Page 781)
Stjepan Picek (KU Leuven & iMinds)
Domagoj Jakobovic (University of Zagreb)

Discovering Rubik's Cube Subgroups using Coevolutionary GP - A Five Twist Experiment (Page 789)
Robert J. Smith (Dalhousie University)
Stephen Kelly (Dalhousie University)
Malcolm I. Heywood (Dalhousie University)

Reducing Antagonism between Behavioral Diversity and Fitness in Semantic Genetic Programming (Page 797)
Marcin Szubert (University of Vermont)
Anuradha Kodali (University of California, Santa Cruz & NASA Ames Research Center)
Sangram Ganguly (BAERI & NASA Ames Research Center)
Kamalika Das (University of California, Santa Cruz & NASA Ames Research Center)
Josh C. Bongard (University of Vermont)

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Track: Integrative Genetic and Evolutionary Computation

Approximation of (k,t)-robust Equilibria (Page 805)
Tudor Dan Mihoc (Babeş-Bolyai University)
Rodica Ioana Lung (Babeş-Bolyai University)
Noémi Gaskó (Babeş-Bolyai University)
Mihai Suciu (Babeş-Bolyai University)

Classification of Cardiac Arrhythmia by Random Forests with Features Constructed by Kaizen Programming with Linear Genetic Programming (Page 813)
Léo F. D. P. Sotto (Federal University of São Paulo)
Regina C. Coelho (Federal University of São Paulo)
Vinícius V. de Melo (Federal University of São Paulo)

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Track: Parallel Evolutionary Systems

The Seamless Peer and Cloud Evolution Framework (Page 821)
Guillaume Leclerc (École Polytéchnique Fédérale de Lausanne)
Joshua E. Auerbach (École Polytéchnique Fédérale de Lausanne)
Giovanni Iacca (École Polytéchnique Fédérale de Lausanne)
Dario Floreano (École Polytéchnique Fédérale de Lausanne)

Hardware-Accelerated Parallel Genetic Algorithm for Fitness Functions with Variable Execution Times (Page 829)
Yunfeng Ma (University of York)
Leandro Soares Indrusiak (University of York)

Performance for the Masses: Experiments with a Web Based Architecture to Harness Volunteer Resources for Low Cost Distributed Evolutionary Computation (Page 837)
Juan J. Merelo (Universidad de Granada)
Pedro A. Castillo (Universidad de Granada)
Pablo García-Sánchez (Universidad de Granada)
Paloma de las Cuevas (Universidad de Granada)
Nuria Rico (Universidad de Granada)
Mario García Valdez (Instituto Tecnológico de Tijuana)

Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms (Page 845)
Eric O. Scott (George Mason University)
Kenneth A. De Jong (George Mason University)

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Track: Real World Applications

A Hybrid Multi-Population Genetic Algorithm for UAV Path Planning (Page 853)
Márcio da Silva Arantes (University of São Paulo)
Jesimar da Silva Arantes (University of São Paulo)
Claudio Fabiano Motta Toledo (University of São Paulo)
Brian C. Williams (Massachusetts Institute of Technology)

Planning Habitat Restoration with Genetic Algorithms (Page 861)
Jana Brotankova (James Cook University)
Tommaso Urli (NICTA / CSIRO Data61 & the Australian National University)
Philip Kilby (NICTA / CSIRO Data61 & the Australian National University)

New Bounds for Office Space Allocation using Tabu Search (Page 869)
Francisco Castillo (Universidad Técnica Federico Santa Maria)
Maria-Cristina Riff (Universidad Técnica Federico Santa Maria)
Elizabeth Montero (Universidad Técnica Federico Santa Maria)

Multiobjective Neuroevolutionary Control for a Fuel Cell Turbine Hybrid Energy System (Page 877)
Mitchell Colby (Oregon State University)
Logan Yliniemi (University of Nevada, Reno)
Paolo Pezzini (Ames National Laboratory)
David Tucker (National Energy Technology Laboratories)
Kenneth "Mark" Bryden (Ames National Laboratory)
Kagan Tumer (Oregon State University)

A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives (Page 885)
Sam Cramer (University of Kent)
Michael Kampouridis (University of Kent)
Alex Freitas (University of Kent)

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Planning Inspection Paths through Evolutionary Multi-objective Optimization (Page 893)
Kai Olav Ellefsen (SENAI CIMATEC)
Herman A. Lepikson (SENAI CIMATEC)
Jan C. Albiez (SENAI CIMATEC & DFKI GmbH)

Evolutionary Design of Fast High-quality Hash Functions for Network Applications (Page 901)
David Grochol (Brno University of Technology)
Lukas Sekanina (Brno University of Technology)

A Genetic Algorithm for Rule-based Chart Pattern Search in Stock Market Prices (Page 909)
Myoung Hoon Ha (Seoul National University)
Sangyeop Lee (Seoul National University)
Byung-Ro Moon (Seoul National University)

Neuroevolution of a Hybrid Power Plant Simulator (Page 917)
Shauharda Khadka (Oregon State University)
Kagan Tumer (Oregon State University)
Mitch Colby (Oregon State University)
Dave Tucker (NETL)
Paolo Pezzini (AMES Laboratory)
Kenneth Bryden (AMES Laboratory)

Measuring Source Code Similarity by Finding Similar Subgraph with an Incremental Genetic Algorithm (Page 925)
Jinhyun Kim (Seoul National University)
HyukGeun Choi (Seoul National University)
Hansang Yun (Seoul National University)
Byung-Ro Moon (Seoul National University)

Evolutionary Feature Subset Selection with Compression-based Entropy Estimation (Page 933)
Pavel Krömer (VŠB - Technical University of Ostrava)
Jan Platoš (VŠB - Technical University of Ostrava)

Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties (Page 941)
Zhichao Lu (Michigan State University)
Kalyanmoy Deb (Michigan State University)
Ankur Sinha (Indian Institute of Management)

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Evolutionary Learning of Scheduling Heuristics for Heterogeneous Wireless Communications Networks (Page 949)
David Lynch (University College Dublin)
Michael Fenton (University College Dublin)
Stepan Kucera (Bell Laboratories, Nokia-Ireland)
Holger Claussen (Bell Laboratories, Nokia-Ireland)
Michael O'Neill (University College Dublin)

A Sparse Recurrent Neural Network for Trajectory Prediction of Atlantic Hurricanes (Page 957)
Mina Moradi Kordmahalleh (North Carolina A&T State University)
Mohammad Gorji Sefidmazgi (North Carolina A&T State University)
Abdollah Homaifar (North Carolina A&T State University)

Tackling the IFP Problem with the Preference-Based Genetic Algorithm (Page 965)
Sune S. Nielsen (University of Luxembourg)
Christof Ferreira Torres (University of Luxembourg)
Grégoire Danoy (University of Luxembourg)
Pascal Bouvry (University of Luxembourg)

Grammatical Evolutionary Techniques for Prompt Migraine Prediction (Page 973)
Josué Pagán (University of Madrid)
José L. Risco-Martín (University of Madrid)
José M. Moya (University of Madrid)
José L. Ayala (University of Madrid)

A Real World Multi-UAV Evolutionary Planner for Minimum Time Target Detection (Page 981)
Sara Perez-Carabaza (Universidad Complutense Madrid)
Eva Besada-Portas (Universidad Complutense Madrid)
Jose A. Lopez-Orozco (Universidad Complutense Madrid)
Jesus M. de la Cruz (Universidad Complutense Madrid)

Finding Interactions or Relationships between Customer Orders for Building Better Batches by Means of an Estimation of Distribution Algorithm-based Approach for the Online Order Batching Problem (Page 989)
Ricardo Pérez-Rodríguez (CIMAT, AC)
Arturo Hernández-Aguirre (CIMAT, AC)

Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing (Page 997)
Nasser R. Sabar (RMIT university)
Andy Song (RMIT university)

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Benchmarks for the Coal Processing and Blending Problem (Page 1005)
Sven Schellenberg (RMIT University)
Xiaodong Li (RMIT University)
Zbigniew Michalewicz (University of Adelaide)

Fine Tuning of Traffic in our Cities with Smart Panels: The Quito City Case Study (Page 1013)
Daniel Stolfi (University of Malaga)
Rolando Armas (Shinshu University)
Enrique Alba (University of Malaga)
Hernan Aguirre (Shinshu University)
Kiyoshi Tanaka (Shinshu University)

Evolutionary Multiobjective Optimization of Winglets (Page 1021)
Mateus A. M. Teixeira (Duke University)
Fillipe Goulart (Universidade Federal de Minas Gerais)
Felipe Campelo (Universidade Federal de Minas Gerais)

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Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis (Page 1029)
Maren Urselmann (TU Dortmund University)
Christophe Foussette (divis intelligent solutions GmbH)
Tim Janus (TU Dortmund University)
Stephen Tlatlik (SUPREN GmbH)
Axel Gottschalk (Bremerhaven University of Applied Sciences)
Michael T.M. Emmerich (LIACS, Leiden University)
Sebastian Engell (TU Dortmund University)
Thomas Bäck (LIACS, Leiden University)

Artificial Multi-Bee-Colony Algorithm for k-Nearest-Neighbor Fields Search (Page 1037)
Yunhai Wang (Shandong University)
Yiming Qian (University of Alberta)
Yang Li (Memorial University)
Minglun Gong (Memorial University)
Wolfgang Banzhaf (Memorial University)

Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters (Page 1045)
Junhua Wu (The University of Adelaide)
Slava Shekh (The University of Adelaide)
Nataliia Y. Sergiienko (The University of Adelaide)
Benjamin S. Cazzolato (The University of Adelaide)
Boyin Ding (The University of Adelaide)
Frank Neumann (The University of Adelaide)
Markus Wagner (The University of Adelaide)

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Track: Search-Based Software Engineering and Self-* Search

Test Case Prioritization of Configurable Cyber-Physical Systems with Weight-Based Search Algorithms (Page 1053)
Aitor Arrieta (Mondragon Unibertsitatea)
Shuai Wang (Simula Research Laboratory)
Goiuria Sagardui (Mondragon Unibertsitatea)
Leire Etxeberria (Mondragon Unibertsitatea)

Learning Overtime Dynamics Through Multiobjective Optimization (Page 1061)
Márcio de O. Barros (Federal University of the State of Rio de Janeiro)
Luiz Antonio O. de Araujo Jr. (Federal University of the State of Rio de Janeiro)

Grammatical Evolution for the Multi-Objective Integration and Test Order Problem (Page 1069)
Thainá Mariani (Federal University of Paraná)
Giovani Guizzo (Federal University of Paraná)
Silvia R. Vergilio (Federal University of Paraná)
Aurora T. R. Pozo (Federal University of Paraná)

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A Search-based Training Algorithm for Cost-aware Defect Prediction (Page 1077)
Annibale Panichella (Delft University of Technology)
Carol V. Alexandru (University of Zurich)
Sebastiano Panichella (University of Zurich)
Alberto Bacchelli (Delft University of Technology)
Harald C. Gall (University of Zurich)

Search-Based Cost-Effective Test Case Selection within a Time Budget: An Empirical Study (Page 1085)
Dipesh Pradhan (Simula Research Laboratory)
Shuai Wang (Simula Research Laboratory)
Shaukat Ali (Simula Research Laboratory)
Tao Yue (Simula Research Laboratory/ University of Oslo)

A Combined Generative and Selective Hyper-heuristic for the Vehicle Routing Problem (Page 1093)
Kevin Sim (Edinburgh Napier University)
Emma Hart (Edinburgh Napier University)

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Track: Theory

Noisy Optimization: Fast Convergence Rates with Comparison-Based Algorithms (Page 1101)
Marie-Liesse Cauwet (University Paris-Sud)
Olivier Teytaud (University Paris-Sud)

Optimal Parameter Settings for the (1+ (lambda,lambda)) Genetic Algorithm (Page 1107)
Benjamin Doerr (École Polytechnique)

The Right Mutation Strength for Multi-Valued Decision Variables (Page 1115)
Benjamin Doerr (École Polytechnique)
Carola Doerr (Université Pierre et Marie Curie - Paris 6)
Timo Koetzing (Hasso-Plattner-Institut)

Optimal Parameter Choices via Precise Black-Box Analysis (Page 1123)
Benjamin Doerr (École Polytechnique)
Carola Doerr (CNRS and Université Pierre et Marie Curie - Paris 6)
Jing Yang (École Polytechnique)

The (1+1) Elitist Black-Box Complexity of LeadingOnes (Page 1131)
Carola Doerr (CNRS & University Pierre et Marie Curie)
Johannes Lengler (ETH Zurich)

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EDAs cannot be Balanced and Stable (Page 1139)
Tobias Friedrich (Hasso Plattner Institute)
Timo Kötzing (Hasso Plattner Institute)
Martin S. Krejca (Hasso Plattner Institute)

Optimal Mutation Rates for the (1+lambda) EA on OneMax (Page 1147)
Christian Gießen (Technical University of Denmark)
Carsten Witt (Technical University of Denmark)

The Impact of Migration Topology on the Runtime of Island Models in Dynamic Optimization (Page 1155)
Andrei Lissovoi (University of Sheffield)
Carsten Witt (Technical University of Denmark)

When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys (Page 1163)
Pietro S. Oliveto (University of Sheffield)
Tiago Paixão (IST Austria)
Jorge Pérez Heredia (University of Sheffield)
Dirk Sudholt (University of Sheffield)
Barbora Trubenová (IST Austria)