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GECCO 2013 Proceedings

Editors, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO'13, July 6–10, 2013, Amsterdam, The Netherlands. ACM 2013, ISBN 978-1-4503-1963-8.


Table of Contents

Welcome from General Chair
Enrique Alba (University of Málaga)

A Word from the Chair of SIGEVO
Wolfgang Banzhaf (Memorial University of Newfoundland)

GECCO 2013 Editors

GECCO 2013 Conference Organizers

GECCO 2013 Program Committee Members

GECCO 2013 Sponsor and Supporters


Track: Ant Colony Optimization and Swarm Intelligence

Track: Genetic Algorithms

Track: Artificial Life/Robotics/Evolvable Hardware

Track: Genetic Programming

Track: Biological and Biomedical Applications

Track: Genetics Based Machine Learning

Track: Digital Entertainment Technologies and Arts

Track: Integrative Genetic and Evolutionary Computation

Track: Estimation of Distribution Algorithms

Track: Parallel Evolutionary Systems

Track: Evolution Strategies and Evolutionary Programming

Track: Real World Applications

Track: Evolutionary Combinatorial Optimization and Metaheuristics

Track: Search-Based Software Engineering

Track: Evolutionary Multiobjective Optimization

Track: Self-* Search

Track: Generative and Developmental Systems

Track: Theory

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Track: Ant Colony Optimization and Swarm Intelligence

A Hybrid Particle Swarm with Velocity Mutation for Constraint Optimization Problems (Page 1)
Mohammad R. Bonyadi (The University of Adelaide)
Xiang Li (The University of Adelaide)
Zbigniew Michalewicz (The University of Adelaide)

A GPU-Based Parallel Fireworks Algorithm for Optimization (Page 9)
Ke Ding (Peking University)
Shaoqiu Zheng (Peking University)
Ying Tan (Peking University)

GESwarm: Grammatical Evolution for the Automatic Synthesis of Collective Behaviors in Swarm Robotics (Page 17)
Eliseo Ferrante (KULeuven)
Edgar Duéñez-Guzmán (KULeuven)
Ali Emre Turgut (THK University)
Tom Wenseleers (KULeuven)

Small-World Particle Swarm Optimization with Topology Adaptation (Page 25)
Yue-jiao Gong (Sun Yat-sen Univerisity)
Jun Zhang (Sun Yat-sen University)

Crowding-Based Local Differential Evolution with Speciation-Based Memory Archive for Dynamic Multimodal Optimization (Page 33)
Souvik Kundu (Jadavpur University)
Subhodip Biswas (Jadavpur University)
Swagatam Das (Indian Statistical Institute)
Ponntuthurai Suganthan (Nanyang Technological University)

Synergy in Ant Foraging Strategies: Memory and Communication Alone and In Combination (Page 41)
Kenneth Letendre (University of New Mexico)
Melanie E. Moses (University of New Mexico)

Combinatorial Expanding Neighborhood Topology Particle Swarm Optimization for the Vehicle Routing Problem with Stochastic Demands (Page 49)
Yannis Marinakis (Technical University of Crete)
Magdalene Marinaki (Technical University of Crete)

Migration Study on a Pareto-Based Island Model for MOACAs (Page 57)
Antonio M. Mora (University of Granada)
Pablo García-Sánchez (University of Granada)
Juan J. Merelo (University of Granada)
Pedro A. Castillo (University of Granada)

Refined Ranking Relations for Multi Objective Optimization and Application to P-ACO (Page 65)
Ruby LV Moritz (Universität Leipzig)
Enrico Reich (Universität Leipzig)
Maik Schwarz (Universität Leipzig)
Matthias Bernt (Universität Leipzig)
Martin Middendorf (Universität Leipzig)

Improving the Interpretability of Classification Rules Discovered by an Ant Colony Algorithm (Page 73)
Fernando E. B. Otero (University of Kent)
Alex A. Freitas (University of Kent)

Optimal Computing Budget Allocation in Particle Swarm Optimization (Page 81)
Juan Rada-Vilela (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)
Mark Johnston (Victoria University of Wellington)

A Novel Multimodal-Problem-Oriented Particle Swarm Optimization Algorithm (Page 89)
Zhigang Ren (Xi'an Jiaotong University)
Muyi Wang (ZTE Corporation)
Jie Wu (Xi'an Technological University)

Initial Application of Ant Colony Optimisation to Statistical Disclosure Control (Page 97)
Martin Serpell (University of the West of England)
James Smith (University of the West of England)

Particle Swarm Optimization with Budget Allocation Through Neighborhood Ranking (Page 105)
Dimitris Souravlias (University of Ioannina)
Konstantinos E. Parsopoulos (University of Ioannina)

Adaptive Memetic Particle Swarm Optimization with Variable Local Search Pool Size (Page 113)
Costas Voglis (University of Ioannina)
Panagiotis E. Hadjidoukas (ETH Zurich)
Konstantinos E. Parsopoulos (University of Ioannina)
Dimitrios G. Papageorgiou (University of Ioannina)
Isaac E. Lagaris (University of Ioannina)

Group-Based Ant Colony Optimization (Page 121)
Gunnar Völkel (University of Ulm)
Markus Maucher (University of Ulm)
Hans A. Kestler (University of Ulm)

On the Effect of Selection and Archiving Operators in Many-Objective Particle Swarm Optimisation (Page 129)
Matthaus M. Woolard (University of Exeter)
Jonathan E. Fieldsend (University of Exeter)

PSO for Feature Construction and Binary Classification (Page 137)
Bing Xue (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)
Yan Dai (Victoria University of Wellington)
Will N. Browne (Victoria University of Wellington)

An Improved Adaptive Differential Evolution Algorithm with Population Adaptation (Page 145)
Ming Yang (China University of Geosciences)
Zhihua Cai (China University of Geosciences)
Changhe Li (China University of Geosciences)
Jing Guan (China Ship Development and Design Center)

Adaptive Artificial Bee Colony Optimization (Page 153)
Wei-jie Yu (Sun Yat-sen University)
Jun Zhang (Sun Yat-sen University)
Wei-neng Chen (Sun Yat-sen University)

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Track: Artificial Life/Robotics/Evolvable Hardware

Combining Fitness-Based Search and User Modeling in Evolutionary Robotics (Page 159)
Josh C. Bongard (University of Vermont)
Gregory S. Hornby (University of California, Santa Cruz & NASA Ames Research Center)

Unshackling Evolution: Evolving Soft Robots with Multiple Materials and a Powerful Generative Encoding (Page 167)
Nick Cheney (Cornell University)
Robert MacCurdy (Cornell University)
Jeff Clune (University of Wyoming)
Hod Lipson (Cornell University)

Behavioral Repertoire Learning in Robotics (Page 175)
Antoine Cully (ISIR- UPMC/CNRS)
Jean-Baptiste Mouret (ISIR- UPMC/CNRS)

A True Finite-State Baseline for Tartarus (Page 183)
Grant Dick (University of Otago)

Self-Adapting Fitness Evaluation Times for On-Line Evolution of Simulated Robots (Page 191)
Cristian M. Dinu (VU University Amsterdam)
Plamen Dimitrov (VU University Amsterdam)
Berend Weel (VU University Amsterdam)
A.E. Eiben (VU University Amsterdam)

Generic Behaviour Similarity Measures for Evolutionary Swarm Robotics (Page 199)
Jorge Gomes (Instituto de Telecomunicações & LabMAg-FCUL)
Anders L. Christensen (Instituto de Telecomunicações & ISCTE-IUL)

Right on the MONEE: Combining Task- and Environment-Driven Evolution (Page 207)
Evert Haasdijk (VU University Amsterdam)
Berend Weel (VU University Amsterdam)
A.E. Eiben (VU University Amsterdam)

Effective Diversity Maintenance in Deceptive Domains (Page 215)
Joel Lehman (The University of Texas at Austin)
Kenneth O. Stanley (University of Central Florida)
Risto Miikkulainen (The University of Texas at Austin)

A Coevolutionary Approach to Learn Animal Behavior Through Controlled Interaction (Page 223)
Wei Li (The University of Sheffield)
Melvin Gauci (The University of Sheffield)
Roderich Groß (The University of Sheffield)

Long-Term Evolutionary Dynamics in Heterogeneous Cellular Automata (Page 231)
David Medernach (University of Limerick)
Taras Kowaliw (ISC-PIF, CNRS)
Conor Ryan (University of Limerick)
René Doursat (Drexel University)

Evolution of Station Keeping as a Response to Flows in an Aquatic Robot (Page 239)
Jared M. Moore (Michigan State University)
Anthony J. Clark (Michigan State University)
Philip K. McKinley (Michigan State University)

Critical Interplay Between Density-Dependent Predation and Evolution of the Selfish Herd (Page 247)
Randal S. Olson (Michigan State University)
David B. Knoester (Michigan State University)
Christoph Adami (Michigan State University)

Confronting the Challenge of Learning a Flexible Neural Controller for a Diversity of Morphologies (Page 255)
Sebastian Risi (Cornell University)
Kenneth O. Stanley (University of Central Florida)

Ribosomal Robots: Evolved Designs Inspired by Protein Folding (Page 263)
Sebastian Risi (Cornell University)
Daniel Cellucci (Cornell University)
Hod Lipson (Cornell University)

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Track: Biological and Biomedical Applications

Inferring Large Scale Genetic Networks with S-System Model (Page 271)
Ahsan Raja Chowdhury (Monash University & National Information and Communication Technology Australia)
Madhu Chetty (Monash University & National Information and Communication Technology Australia)
Nguyen Xuan Vinh (Monash University)

mDBN: Motif Based Learning of Gene Regulatory Networks Using Dynamic Bayesian Networks (Page 279)
Nizamul Morshed (Monash University & National Information and Communication Technology Australia)
Madhu Chetty (Monash University & National Information and Communication Technology Australia)
Nguyen Xuan Vinh (Monash University)
Terry Caelli (National ICT Australia (NICTA))

Off-Lattice Protein Structure Prediction with Homologous Crossover (Page 287)
Brian Olson (George Mason University)
Kenneth De Jong (George Mason University)
Amarda Shehu (George Mason University)

Subset-Based Ant Colony Optimisation for the Discovery of Gene-Gene Interactions in Genome Wide Association Studies (Page 295)
Emmanuel Sapin (University of Exeter)
Ed Keedwell (University of Exeter)
Tim Frayling (Genetics of Complex Traits, Institute of Biomedical and Clinical Science, Peninsula Medical School)

Particularities of Evolutionary Parameter Estimation in Multi-Stage Compartmental Models of Thymocyte Dynamics (Page 303)
Daniela Zaharie (West University of Timişoara)
Lavinia Moatar-Moleriu (West University of Timişoara)
Viorel Negru (West University of Timişoara)

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Track: Digital Entertainment Technologies and Arts

Aesthetic Selection and the Stochastic Basis of Art, Design and Interactive Evolutionary Computation (Page 311)
Alan Dorin (Monash University)

Evolving Structures for Electronic Dance Music (Page 319)
Arne Eigenfeldt (Simon Fraser University)
Philippe Pasquier (Simon Fraser University)

Trace Selection for Interactive Evolutionary Algorithms (Page 327)
Jonathan Eisenmann (The Ohio State University)
Matthew Lewis (The Ohio State University)
Rick Parent (The Ohio State University)

Open-Ended Behavioral Complexity for Evolved Virtual Creatures (Page 335)
Dan Lessin (The University of Texas at Austin)
Don Fussell (The University of Texas at Austin)
Risto Miikkulainen (The University of Texas at Austin)

Enhancements to Constrained Novelty Search: Two-Population Novelty Search for Generating Game Content (Page 343)
Antonios Liapis (IT University of Copenhagen)
Georgios N. Yannakakis (University of Malta)
Julian Togelius (IT University of Copenhagen)

Rolling Horizon Evolution versus Tree Search for Navigation in Single-Player Real-Time Games (Page 351)
Diego Perez (University of Essex)
Spyridon Samothrakis (University of Essex)
Simon M. Lucas (University of Essex)
Philipp Rohlfshagen (University of Essex)

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Track: Estimation of Distribution Algorithms

More Concise and Robust Linkage Learning by Filtering and Combining Linkage Hierarchies (Page 359)
Peter A. N. Bosman (Centrum Wiskunde & Informatica)
Dirk Thierens (Utrecht University)

Effects of Discrete Hill Climbing on Model Building for Estimation of Distribution Algorithms (Page 367)
Wei-Ming Chen (National Taiwan University)
Chu-Yu Hsu (National Taiwan University)
Tian-Li Yu (National Taiwan University)
Wei-Che Chien (National Taiwan University)

A Niching Scheme for EDAs to Reduce Spurious Dependencies (Page 375)
Po-Chun Hsu (National Taiwan University)
Tian-Li Yu (National Taiwan University)

Towards Large Scale Continuous EDA: A Random Matrix Theory Perspective (Page 383)
Ata Kabán (University of Birmingham)
Jakramate Bootkrajang (University of Birmingham)
Robert J. Durrant (University of Birmingham)

A Bayesian Approach for Constrained Multi-Agent Minimum Time Search in Uncertain Dynamic Domains (Page 391)
Pablo Lanillos (Universidad Complutense de Madrid)
Javier Yañez-Zuluaga (Universidad Complutense de Madrid)
José Jaime Ruz (Universidad Complutense de Madrid)
Eva Besada-Portas (Universidad Complutense de Madrid)

Geometric-Based Sampling for Permutation Optimization (Page 399)
Olivier Regnier-Coudert (Robert Gordon University)
John McCall (Robert Gordon University)
Mayowa Ayodele (Robert Gordon University)

Design of Test Problems for Discrete Estimation of Distribution Algorithms (Page 407)
Shih-Ming Wang (National Taiwan University)
Jie-Wei Wu (National Taiwan University)
Wei-Ming Chen (National Taiwan University)
Tian-Li Yu (National Taiwan University)

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Track: Evolution Strategies and Evolutionary Programming

A Median Success Rule for Non-Elitist Evolution Strategies: Study of Feasibility (Page 415)
Ouassim Ait Elhara (TAO Team, INRIA Saclay-Île-de-France, LRI, Paris Sud University)
Anne Auger (TAO Team, INRIA Saclay-Île-de-France, LRI, Paris Sud University)
Nikolaus Hansen (TAO Team, INRIA Saclay-Île-de-France, LRI, Paris Sud University)

On the Behaviour of the (1, λ)-ES for a Conically Constrained Problem (Page 423)
Dirk V. Arnold (Dalhousie University)

A Natural Evolution Strategy with Asynchronous Strategy Updates (Page 431)
Tobias Glasmachers (Ruhr-Universität)

Intensive Surrogate Model Exploitation in Self-Adaptive Surrogate-Assisted CMA-ES (saACM-ES) (Page 439)
Ilya Loshchilov (École Polytechnique Federale de Lausanne)
Marc Schoenauer (TAO, INRIA Saclay University Paris-Sud)
Michèle Sebag (CNRS, LRI UMR 8623, University Paris-Sud)

An Evolution Strategy Assisted by an Ensemble of Local Gaussian Process Models (Page 447)
Jianfeng Lu (University of Science and Technology of China)
Bin Li (University of Science and Technology of China)
Yaochu Jin (University of Surrey)

Asynchronous Differential Evolution with Adaptive Correlation Matrix (Page 455)
Evgeniya Zhabitskaya (Joint Institute for Nuclear Research)
Mikhail Zhabitsky (Joint Institute for Nuclear Research)

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Track: Evolutionary Combinatorial Optimization and Metaheuristics

Evolutionary Algorithm for the k-Interconnected Multi-Depot Multi-Traveling Salesmen Problem (Page 463)
Carlos E. Andrade (University of Campinas)
Flávio K. Miyazawa (University of Campinas)
Mauricio G. C. Resende (AT&T Labs Research)

On Set-Based Local Search for Multiobjective Combinatorial Optimization (Page 471)
Matthieu Basseur (Université d'Angers, LERIA, France)
Adrien Goëffon (Université d'Angers, LERIA, France)
Arnaud Liefooghe (Université Lille 1, LIFL - CNRS - INRIA Lille)
Sébastien Verel (University Nice Sophia-Antipolis - INRIA Lille)

Hill-Climbing Strategies on Various Landscapes: An Empirical Comparison (Page 479)
Matthieu Basseur (University of Angers)
Adrien Goëffon (University of Angers)

An Effective Heuristic for the Smallest Grammar Problem (Page 487)
Florian Benz (Saarland University)
Timo Kötzing (Universität Jena)

An Analytical Investigation of Block-Based Mutation Operators for Order-Based Stochastic Clique Covering Algorithms (Page 495)
David Chalupa (Slovak University of Technology)

Second Order Partial Derivatives for NK-Landscapes (Page 503)
Wenxiang Chen (Colorado State University)
Darrell Whitley (Colorado State University)
Doug Hains (Colorado State University)
Adele Howe (Colorado State University)

MuACOsm - A New Mutation-Based Ant Colony Optimization Algorithm for Learning Finite-State Machines (Page 511)
Daniil Chivilikhin (Saint Petersburg National Research University of Information Technologies, Mechanics and Optics)
Vladimir Ulyantsev (Saint Petersburg National Research University of Information Technologies, Mechanics and Optics)

The Generalized Minimum Spanning Tree Problem: A Parameterized Complexity Analysis of Bi-Level Optimisation (Page 519)
Dogan Corus (University of Nottingham)
Per Kristian Lehre (University of Nottingham)
Frank Neumann (University of Adelaide)

Cartesian Product of Scalarization Functions for Many-Objective QAP Instances with Correlated Flow Matrices (Page 527)
Madalina M. Drugan (Vrije Universiteit Brussel)

An Evolutionary Multi-Agent System for Database Query Optimization (Page 535)
Frederico A. C. A. Gonçalves (University of Minas Gerais)
Frederico G. Guimarães (University of Minas Gerais)
Marcone J. F. Souza (Federal University of Ouro Preto)

The Benefits of Using Multi-Objectivization for Mining Pittsburgh Partial Classification Rules in Imbalanced and Discrete Data (Page 543)
Julie Jacques (Société Alicante)
Julien Taillard (Société Alicante)
David Delerue (Société Alicante)
Laetitia Jourdan (LIFL, Université Lille 1)
Clarisse Dhaenens (LIFL, Université Lille 1)

Ordered Racing Protocols for Automatically Configuring Algorithms for Scaling Performance (Page 551)
James Styles (University of British Columbia)
Holger Hoos (University of British Columbia)

A Memetic Algorithm for the Multi-Objective Flexible Job Shop Scheduling Problem (Page 559)
Yuan Yuan (Tsinghua University)
Hua Xu (Tsinghua University)

Which Algorithm Should I Choose At Any Point of the Search: An Evolutionary Portfolio Approach (Page 567)
Shiu Yin Yuen (City University of Hong Kong)
Chi Kin Chow (City University of Hong Kong)
Xin Zhang (City University of Hong Kong)

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Track: Evolutionary Multiobjective Optimization

Parameterized Average-Case Complexity of the Hypervolume Indicator (Page 575)
Karl Bringmann (Max-Planck-Institut für Informatik)
Tobias Friedrich (Friedrich-Schiller-Universität)

Iterated Multi-Swarm: A Multi-Swarm Algorithm Based on Archiving Methods (Page 583)
Andre Britto (Ministry of Education of Brazil)
Sanaz Mostaghim (Karlsruhe Institute of Technology (KIT))
Aurora Pozo (Federal University of Parana)

Many-Objective Optimization Using Differential Evolution with Variable-Wise Mutation Restriction (Page 591)
Roman Denysiuk (University of Minho)
Lino Costa (University of Minho)
Isabel Espírito Santo (University of Minho)

Attempt to Reduce the Computational Complexity in Multi-Objective Differential Evolution Algorithms (Page 599)
Martin Drozdik (Faculty of Engineering, Shinshu University)
Hernan Aguirre (Faculty of Engineering, Shinshu University)
Kiyoshi Tanaka (Faculty of Engineering, Shinshu University)

Edges of Mutually Non-Dominating Sets (Page 607)
Richard M. Everson (University of Exeter)
David J. Walker (University of Exeter)
Jonathan E. Fieldsend (University of Exeter)

Generalizing the Improved Run-Time Complexity Algorithm for Non-Dominated Sorting (Page 615)
Félix-Antoine Fortin (Université Laval)
Simon Grenier (Université Laval)
Marc Parizeau (Université Laval)

Revisiting the NSGA-LI Crowding-Distance Computation (Page 623)
Félix-Antoine Fortin (Université Laval)
Marc Parizeau (Université Laval)

A Hybrid Evolutionary Approach with Search Strategy Adaptation for Mutiobjective Optimization (Page 631)
Ahmed Kafafy (Laboratoire ERIC - Université de Lyon)
Stéphane Bonnevay (Laboratoire ERIC - Université de Lyon)
Ahmed Bounekkar (Laboratoire ERIC - Université de Lyon)

Evolutionary Multi-Objective Optimization to Attain Practically Desirable Solutions (Page 639)
Natsuki Kusuno (Shinshu University)
Hernán Aguirre (Shinshu University)
Kiyoshi Tanaka (Shinshu University)
Masataka Koishi (The Yokohama Rubber Co., Ltd.)

Two-Stage Non-Dominated Sorting and Directed Mating for Solving Problems with Multi-Objectives and Constraints (Page 647)
Minami Miyakawa (The University of Electro-Communications)
Keiki Takadama (The University of Electro-Communications)
Hiroyuki Sato (The University of Electro-Communications)

A Comparison of Different Algorithms for the Calculation of Dominated Hypervolumes (Page 655)
Christopher Priester (Technische Universität Darmstadt)
Kaname Narukawa (Honda Research Institute Europe)
Tobias Rodemann (Honda Research Institute Europe)

MOEA/D for Traffic Grooming in WDM Optical Networks (Page 663)
Álvaro Rubio-Largo (University of Extremadura)
Qingfu Zhang (University of Essex)
Miguel A. Vega-Rodríguez (University of Extremadura)

Many-Hard-Objective Optimization Using Differential Evolution Based on Two-Stage Constraint-Handling (Page 671)
Kiyoharu Tagawa (Kinki University)
Akihiro Imamura (Kinki University)

Multi-Objective Optimization with Surrogate Trees (Page 679)
Denny Verbeeck (KU Leuven)
Francis Maes (KU Leuven)
Kurt De Grave (KU Leuven)
Hendrik Blockeel (KU Leuven)

A Fast Approximation-Guided Evolutionary Multi-Objective Algorithm (Page 687)
Markus Wagner (The University of Adelaide)
Frank Neumann (The University of Adelaide)

On Finding Well-Spread Pareto Optimal Solutions by Preference-Inspired Co-Evolutionary Algorithm (Page 695)
Rui Wang (The University of Sheffield)
Robin C. Purshouse (The University of Sheffield)
Peter J. Fleming (The University of Sheffield)

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Track: Generative and Developmental Systems

Neuroevolution Results in Emergence of Short-Term Memory in Multi-Goal Environment (Page 703)
Konstantin Lakhman (National Research Center Kurchatov Institute)
Mikhail Burtsev (National Research Center Kurchatov Institute)

Neuroannealing: Martingale - Optimization for Neural Networks (Page 711)
Alan J. Lockett (Istituto Dalle Molle di Studi sull'Intelligenzia Artificiale)
Risto Miikkulainen (University of Texas at Austin)

Single-Unit Pattern Generators for Quadruped Locomotion (Page 719)
Gregory Morse (University of Central Florida)
Sebastian Risi (Cornell University)
Charles R. Snyder (University of Central Florida)
Kenneth O. Stanley (University of Central Florida)

Gene Networks Have a Predictive Long-Term Fitness (Page 727)
Michael E. Palmer (Stanford University)

Evolving Multimodal Controllers with HyperNEAT (Page 735)
Justin K. Pugh (University of Central Florida)
Kenneth O. Stanley (University of Central Florida)

Heterochronic Scaling of Developmental Durations in Evolved Soft Robots (Page 743)
John Rieffel (Union College)

A Hox Gene Inspired Generative Approach to Evolving Robot Morphology (Page 751)
Eivind Samuelsen (University of Oslo)
Kyrre Glette (University of Oslo)
Jim Torresen (University of Oslo)

Critical Factors in the Performance of HyperNEAT (Page 759)
Thomas van den Berg (University of Amsterdam)
Shimon Whiteson (University of Amsterdam)

On Learning to Generate Wind Farm Layouts (Page 767)
Dennis Wilson (CSAIL - MIT)
Emmanuel Awa (Brandeis University)
Sylvain Cussat-Blanc (University of Toulouse)
Kalyan Veeramachaneni (CSAIL - MIT)
Una-May O'Reilly (CSAIL - MIT)

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Track: Genetic Algorithms

Lessons from the Black-Box: Fast Crossover-Based Genetic Algorithms (Page 781)
Benjamin Doerr (Max Planck Institute for Informatics)
Carola Doerr (LIAFA, Université Paris Diderot (Paris 7))
Franziska Ebel (Saarland University)

Constructing Low Star Discrepancy Point Sets with Genetic Algorithms (Page 789)
Carola Doerr (LIAFA, Université Paris Diderot (Paris 7))
François-Michel De Rainville (Université Laval)

Hybridizing Evolutionary Algorithms with Opportunistic Local Search (Page 797)
Christian Gießen (Christian-Albrechts-Universität)

Hyperplane Initialized Local Search for MAXSAT (Page 805)
Doug Hains (Colorado State University)
Darrell Whitley (Colorado State University)
Adele Howe (Colorado State University)
Wenxiang Chen (Colorado State University)

A Multiset Genetic Algorithm for the Optimization of Deceptive Problems (Page 813)
António Manso (Instituto Politécnico de Tomar & Universidad de Lisboa)
Luís Miguel Correia (Universidade de Lisboa)

The Influence of Linkage-Learning in the Linkage-Tree GA When Solving Multidimensional Knapsack Problems (Page 821)
Jean P. Martins (University of São Paulo)
Alexandre C.B. Delbem (University of São Paulo)

Improving Evolutionary Solutions to the Game of MasterMind Using an Entropy-Based Scoring Method (Page 829)
Juan J. Merelo (University of Granada)
Pedro Castillo (University of Granada)
Antonio Mora (University of Granada)
Anna I. Esparcia-Alcázar (S2 Grupo)

Analysis of Diversity Mechanisms for Optimisation in Dynamic Environments with Low Frequencies of Change (Page 837)
Pietro S. Oliveto (University of Birmingham)
Christine Zarges (University of Birmingham)

A Variance Decomposition Approach to the Analysis of Genetic Algorithms (Page 845)
Tiago Paixão (Institute of Science and Technology Austria)
Nick Barton (Institute of Science and Technology Austria)

On the Usefulness of Linkage Processing for Solving MAX-SAT (Page 853)
Krzysztof L. Sadowski (Utrecht University)
Peter A.N. Bosman (Centrum Wiskunde & Informatica)
Dirk Thierens (Utrecht University)

pEvoSAT: A Novel Permutation Based Genetic Algorithm for Solving the Boolean Satisfiability Problem (Page 861)
Boris Shabash (Simon Fraser University)
Kay C. Wiese (Simon Fraser University)

Extended Virtual Loser Genetic Algorithm for the Dynamic Traveling Salesman Problem (Page 869)
Anabela Simões (Polytechnic Institute of Coimbra)
Ernesto Costa (University of Coimbra)

Hierarchical Problem Solving with the Linkage Tree Genetic Algorithm (Page 877)
Dirk Thierens (Universiteit Utrecht)
Peter A.N. Bosman (Centrum Wiskunde & Informatica)

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Track: Genetic Programming

Benchmarking Pareto Archiving Heuristics in the Presence of Concept Drift: Diversity Versus Age (Page 885)
Aaron Atwater (Dalhousie University)
Malcolm I. Heywood (Dalhousie University)

Automatic Inference of Hierarchical Graph Models Using Genetic Programming with an Application to Cortical Networks (Page 893)
Alexander Bailey (Brock University)
Beatrice Ombuki-Berman (Brock University)
Mario Ventresca (University of Toronto)

Efficient Indexing of Similarity Models with Inequality Symbolic Regression (Page 901)
Tomáš Bartoš (Charles University in Prague)
Tomáš Skopal (Charles University in Prague)
Juraj Moško (Charles University in Prague)

An Effective Parse Tree Representation for Tartarus (Page 909)
Grant Dick (University of Otago)

Genetic Programming for Edge Detection Using Multivariate Density (Page 917)
Wenlong Fu (Victoria University of Wellington)
Mark Johnston (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)

An Efficient Distance Metric for Linear Genetic Programming (Page 925)
Marco Gaudesi (Politecnico di Torino)
Giovanni Squillero (Politecnico di Torino)
Alberto Tonda (INRA UMR 782)

Length Bias and Search Limitations in Cartesian Genetic Programming (Page 933)
Brian W. Goldman (Michigan State University)
William F. Punch (Michigan State University)

Approximating Geometric Crossover by Semantic Backpropagation (Page 941)
Krzysztof Krawiec (Poznań University of Technology)
Tomasz Pawlak (Poznań University of Technology)

Pattern-Guided Genetic Programming (Page 949)
Krzysztof Krawiec (Poznań University of Technology)
Jerry Swan (University of Stirling)

Self-Adaptive Mate Choice for Cluster Geometry Optimization (Page 957)
António Leitão (University of Coimbra)
Penousal Machado (University of Coimbra)

Genetic Programming with Genetic Regulatory Networks: Genetic Programming (Page 965)
Rui L. Lopes (University of Coimbra)
Ernesto Costa (University of Coimbra)

GEARNet: Grammatical Evolution with Artificial Regulatory Networks (Page 973)
Rui L. Lopes (University of Coimbra)
Ernesto Costa (University of Coimbra)

Accelerating Convergence in Cartesian Genetic Programming by Using a New Genetic Operator (Page 981)
Andreas Meier (Volkswagen AG)
Mark Gonter (Volkswagen AG)
Rudolf Kruse (University of Magdeburg)

Runtime Analysis of Mutation-Based Geometric Semantic Genetic Programming for Basis Functions Regression (Page 989)
Alberto Moraglio (University of Birmingham)
Andrea Mambrini (University of Birmingham)

Structural Difficulty in Grammatical Evolution versus Genetic Programming (Page 997)
Ann Thorhauer (University of Mainz)
Franz Rothlauf (University of Mainz)

Cartesian Genetic Programming Encoded Artificial Neural Networks: A Comparison Using Three Benchmarks (Page 1005)
Andrew James Turner (University of York)
Julian Francis Miller (University of York)

Running Programs Backwards: Instruction Inversion for Effective Search in Semantic Spaces (Page 1013)
Bartosz Wieloch (Poznań University of Technology)
Krzysztof Krawiec (Poznań University of Technology)

Prioritized Grammar Enumeration: Symbolic Regression by Dynamic Programming (Page 1021)
Tony Worm (Binghamton University)
Kenneth Chiu (Binghamton University)

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Track: Genetics Based Machine Learning

Comparing Multi-Objective and Threshold-Moving ROC Curve Generation for a Prototype-Based Classifier (Page 1029)
Ricardo Aler (Universidad Carlos III de Madrid)
Julia Handl (University of Manchester)
Joshua D. Knowles (University of Manchester)

Evolving Artificial Neural Networks for Nonlinear Feature Construction (Page 1037)
Tobias Berka (University of Cambridge & University of Salzburg)
Helmut A. Mayer (University of Salzburg)

Extending Learning Classifier System with Cyclic Graphs for Scalability on Complex, Large-Scale Boolean Problems (Page 1045)
Muhammad Iqbal (Victoria University of Wellington)
Will N. Browne (Victoria University of Wellington)
Mengjie Zhang (Victoria University of Wellington)

An Analysis of a Spatial EA Parallel Boosting Algorithm (Page 1053)
Uday Kamath (George Mason University)
Carlotta Domeniconi (George Mason University)
Kenneth A. De Jong (George Mason University)

Evolving Large-Scale Neural Networks for Vision-Based Reinforcement Learning (Page 1061)
Jan Koutník (USI-SUPSI)
Giuseppe Cuccu (USI-SUPSI)
Jürgen Schmidhuber (USI-SUPSI)
Faustino Gomez (USI-SUPSI)

Analysis of the Niche Genetic Algorithm in Learning Classifier Systems (Page 1069)
Tim Kovacs (University of Bristol)
Robin Tindale (University of Bristol)

Networks of Transform-Based Evolvable Features for Object Recognition (Page 1077)
Taras Kowaliw (ISC-PIF, CNRS)
Wolfgang Banzhaf (Memorial University)
René Doursat (Drexel University)

Selection Strategy for XCS with Adaptive Action Mapping (Page 1085)
Masaya Nakata (The University of Electro-Communications)
Pier Luca Lanzi (Politecnico di Milano)
Keiki Takadama (The University of Electro-Communications)

Searching for Novel Clustering Programs (Page 1093)
Enrique Naredo (Instituto Tecnológico de Tijuana)
Leonardo Trujillo (Instituto Tecnológico de Tijuana)

An Evolutionary Data-Conscious Artificial Immune Recognition System (Page 1101)
Darwin Tay (Imperial College London & Nanyang Technological University)
Chueh Loo Poh (Nanyang Technological University)
Richard I. Kitney (Imperial College London)

Self Organizing Classifiers and Niched Fitness (Page 1109)
Danilo V. Vargas (Kyushu University)
Hirotaka Takano (Kyushu University)
Junichi Murata (Kyushu University)

Learning Regression Ensembles with Genetic Programming at Scale (Page 1117)
Kalyan Veeramachaneni (Massachusetts Institute of Technology)
Owen Derby (Massachusetts Institute of Technology)
Dylan Sherry (Massachusetts Institute of Technology)
Una-May O'Reilly (Massachusetts Institute of Technology)

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Track: Integrative Genetic and Evolutionary Computation

Solving Satisfiability in Fuzzy Logics by Mixing CMA-ES (Page 1125)
Tim Brys (AI Lab, VUB)
Madalina M. Drugan (AI Lab, VUB)
Peter A. N. Bosman (Centrum Wiskunde & Informatica (CWI))
Martine De Cock (Ghent University )
Ann Nowé (Artificial Intelligence Lab, VUB)

Using Representative Strategies for Finding Nash Equilibria (Page 1133)
Chih-Yuan Chou (National Taiwan University)
Tian-Li Yu (National Taiwan University)

Improving Coevolution by Random Sampling (Page 1141)
Wojciech Jaśkowski (Poznań University of Technology)
Paweł Liskowski (Poznań University of Technology)
Marcin Szubert (Poznań University of Technology)
Krzysztof Krawiec (Poznań University of Technology)

Shaping Fitness Function for Evolutionary Learning of Game Strategies (Page 1149)
Marcin Szubert (Poznań University of Technology)
Wojciech Jaśkowski (Poznań University of Technology)
Paweł Liskowski (Poznań University of Technology)
Krzysztof Krawiec (Poznań University of Technology)

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Track: Parallel Evolutionary Systems

A Parallel Evolutionary Approach to Solve the Relay Node Placement Problem in Wireless Sensor Networks (Page 1157)
Jose M. Lanza-Gutierrez (University of Extremadura)
Juan A. Gomez-Pulido (University of Extremadura)
Miguel A. Vega-Rodriguez (University of Extremadura)
Juan M. Sanchez-Perez (University of Extremadura)

Accelerating Population-Based Search Heuristics by Adaptive Resource Allocation (Page 1165)
Joachim Lepping (INRIA Rhône-Alpes)
Panayotis Mertikopoulos (French National Center for Scientific Research)
Denis Trystram (LIG, Grenoble University, IUF)

The Asynchronous Island Model and NSGA-LI: Study of a New Migration Operator and Its Performance (Page 1173)
Marcus Märtens (European Space Agency)
Dario Izzo (European Space Agency)

A Parallel Memetic Algorithm on GPU to Solve the Task Scheduling Problem in Heterogeneous Environments (Page 1181)
Sayyed Ali Mirsoleimani (Shiraz University)
Ali Karami (Shiraz University)
Farshad Khunjush (Hormozgan University & Shiraz University)

ParadisEO-MO-GPU: A Framework for Parallel GPU-Based Local Search Metaheuristics (Page 1189)
Nouredine MELAB (Inria Lille, CNRS-LIFL, Université Lille 1)
Thé Van Luong (HEIG-VD)
Karima Boufaras (Inria Lille)
El Ghazali Talbi (Inria Lille, CNRS-LIFL, Université Lille 1)

Speeding Up Model Building for ECGA on CUDA Platform (Page 1197)
Chung-Yu Shao (National Taiwan University)
Tian-Li Yu (National Taiwan University)

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Track: Real World Applications

A Novel Movable Partitions Approach with Neural Networks and Evolutionary Algorithms for Solving the Hydroelectric Unit Commitment Problem (Page 1205)
Pedro de Lima Abrão (Centro Federal de Educação Tecnológica de Minas Gerais)
Elizabeth F. Wanner (Centro Federal de Educação Tecnológica de Minas Gerais)
Paulo E.M. Almeida (Centro Federal de Educação Tecnológica de Minas Gerais)

Searching for the Minimum Failures That Can Cause a Hazard in a Wireless Sensor Network (Page 1213)
Iain Bate (Mälardalem University & University of York)
Mark L. Fairbairn (University of York)

Evolutionary Multiobjective Optimization for Selecting Members of an Ensemble Streamflow Forecasting Model (Page 1221)
Darwin Brochero (Université Laval)
Christian Gagné (Université Laval)
François Anctil (Université Laval)

Human Action Recognition Optimization Based on Evolutionary Feature Subset Selection (Page 1229)
Alexandros Andre Chaaraoui (University of Alicante)
Francisco Flórez-Revuelta (Kingston University)

Self-Adjusting Focus of Attention by Means of GP for Improving a Laser Point Detection System (Page 1237)
Eddie Clemente (Centro de Investigación Científica y de Educación Superior de Ensenada)
Francisco Chávez (University of Extremadura)
León Dozal (Carretera Ensenada-Tijuana)
Francisco Fernández de Vega (University of Extremadura)
Gustavo Olague (Carretera Ensenada-Tijuana)

Multi-user Detection in Multi-Carrier CDMA Wireless Broadband System Using a Binary Adaptive Differential Evolution Algorithm (Page 1245)
Swagatam Das (Indian Statistical Institute)
Rohan Mukherjee (Jadavpur University)
Rupam Kundu (Jadavpur University)
Thanos Vasilakos (Kuwait University)

Automatic String Replace by Examples (Page 1253)
Andrea De Lorenzo (University of Trieste)
Eric Medvet (University of Trieste)
Alberto Bartoli (University of Trieste)

Hybrid Discrete Harmony Search Algorithm for Scheduling Re-Processing Problem in Remanufacturing (Page 1261)
Kaizhou Gao (Nanyang Technological University)
Ponnuthurai Nagaratnam Suganthan (Nanyang Technological University)
Tayjin Chua (Singapore Institute of Manufacturing Technology)
Tianxiang Cai (Singapore Institute of Manufacturing Technology)
Chinsoon Chong (Singapore Institute of Manufacturing Technology)

Stochastic Volatility Modeling with Computational Intelligence Particle Filters (Page 1269)
Ayub Hanif (University College London)
Robert E. Smith (University College London)

Evolutionary Path Generation for Reduction of Thermal Variations in Thermal Spray Coating (Page 1277)
Daniel Hegels (TU Dortmund University)
Heinrich Müller (TU Dortmund University)

Estimating MlC NAND Flash Endurance: A Genetic Programming Based Symbolic Regression Application (Page 1285)
Damien Hogan (University of Limerick)
Tom Arbuckle (University of Limerick)
Conor Ryan (University of Limerick)

Controlling Tensegrity Robots Through Evolution (Page 1293)
Atil Iscen (Oregon State University)
Adrian Agogino (UC Santa Cruz / NASA Ames)
Vytas SunSpiral (SGT Inc. / NASA Ames)
Kagan Tumer (Oregon State University)

Search for a Grand Tour of the Jupiter Galilean Moons (Page 1301)
Dario Izzo (European Space Agency)
Luís F. Simões (VU University Amsterdam)
Marcus Märtens (European Space Agency)
Guido C. H. E. de Croon (TU Delft)
Aurelie Heritier (European Space Agency)
Chit Hong Yam (Hong Kong University of Science and Technology)

Pipe Smoothing Genetic Algorithm for Least Cost Water Distribution Network Design (Page 1309)
Matthew B. Johns (University of Exeter)
Edward Keedwell (University of Exeter)
Dragan Savic (University of Exeter)

Cluster Energy Optimizing Genetic Algorithm (Page 1317)
Vera A. Kazakova (University of Central Florida)
Annie S. Wu (University of Central Florida)
Talat S. Rahman (University of Central Florida)

A Hybrid Genetic Approach for Stereo Matching (Page 1325)
Eliyahu Kiperwasser (Bar-Ilan University)
Omid David (Bar-Ilan University)
Nathan S. Netanyahu (Bar-Ilan University)

Optimization of a Supersonic Airfoil Using the Multi-Objective Alliance Algorithm (Page 1333)
Valerio Lattarulo (University of Cambridge)
Pranay Seshadri (University of Cambridge)
Geoffrey T. Parks (University of Cambridge)

On the Impact of Streaming Interface Heuristics on GP Trading Agents: An FX Benchmarking Study (Page 1341)
Alexander Loginov (Dalhousie University)
Malcolm I. Heywood (Dalhousie University)

Vehicular Mobility Model Optimization Using Cooperative Coevolutionary Genetic Algorithms (Page 1349)
Sune S. Nielsen (University of Luxembourg)
Grégoire Danoy (University of Luxembourg)
Pascal Bouvry (University of Luxembourg)

Hybrid POMDP Based Evolutionary Adaptive Framework for Efficient Visual Tracking Algorithms (Page 1357)
Yan Shen (Inha University)
Sarang Khim (Inha University)
Won Jun Sung (Inha University)
Sungjin Hong (Inha University)
Phill Kyu Rhee (Inha University)

Minimising Longest Path Length in Communication Satellite Payloads via Metaheuristics (Page 1365)
Apostolos Stathakis (University of Luxembourg)
Grégoire Danoy (University of Luxembourg)
Julien Schleich (University of Luxembourg)
Pascal Bouvry (University of Luxembourg)
Gianluigi Morelli (SES Engineering)

Red Swarm: Smart Mobility in Cities with EAs (Page 1373)
Daniel H. Stolfi (University of Malaga)
Enrique Alba (University of Malaga)

Fast and Effective Multi-Objective Optimisation of Wind Turbine Placement (Page 1381)
Raymond Tran (The University of Adelaide)
Junhua Wu (The University of Adelaide)
Christopher Denison (The University of Adelaide)
Thomas Ackling (The University of Adelaide)
Markus Wagner (The University of Adelaide)
Frank Neumann (The University of Adelaide)

Differential Evolution Based Human Body Pose Estimation from Point Clouds (Page 1389)
Roberto Ugolotti (University of Parma)
Stefano Cagnoni (University of Parma)

A Multi-Objective Approach to Evolving Platooning Strategies in Intelligent Transportation Systems (Page 1397)
Willem van Willigen (VU University Amsterdam & TNO The Hague)
Evert Haasdijk (VU University Amsterdam)
Leon Kester (TNO The Hague)

MOEA/D Assisted by RBF Networks for Expensive Multi-Objective Optimization Problems (Page 1405)
Saúl Zapotecas Martínez (CINVESTAV-IPN)
Carlos A. Coello Coello (CINVESTAV-IPN)

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Track: Search-Based Software Engineering

A Grammatical Evolution Approach for Software Effort Estimation (Page 1413)
Rodrigo C. Barros (University of São Paulo)
Márcio P. Basgalupp (Federal University of São Paulo)
Ricardo Cerri (University of São Paulo)
Tiago S. da Silva (University of São Paulo)
André C.P.L.F. de Carvalho (University of São Paulo)

Testing of Precision Agricultural Networks for Adversary-Induced Problems (Page 1421)
Karel P. Bergmann (University of Calgary)
Jörg Denzinger (University of Calgary)

Cost-Aware Pareto Optimal Test Suite Minimisation for Service-Centric Systems (Page 1429)
Mustafa Bozkurt (University College London)

Test Suite Generation with Memetic Algorithms (Page 1437)
Gordon Fraser (University of Sheffield)
Andrea Arcuri (Simula Research Laboratory)
Phil McMinn (University of Sheffield)

A Theoretical Runtime and Empirical Analysis of Different Alternating Variable Searches for Search-Based Testing (Page 1445)
Joseph Kempka (University of Sheffield)
Phil McMinn (University of Sheffield)
Dirk Sudholt (University of Sheffield)

Search-Based Model Merging (Page 1453)
Marouane Kessentini (Missouri University of Science and Technology)
Wafa Werda (Missouri University of Science and Technology)
Philip Langer (Vienna University of Technology)
Manuel Wimmer (Vienna University of Technology)

The Use of Development History in Software Refactoring Using a Multi-Objective Evolutionary Algorithm (Page 1461)
Ali Ouni (Université de Montréal & Missouri University of Science and Technology)
Marouane Kessentini (Missouri University of Science and Technology)
Houari Sahraoui (Université de Montréal)
Mohamed Salah Hamdi (Ahmed Ben Mohamed Military College)

A Scenario-Based Robust Model for the Next Release Problem (Page 1469)
Matheus Paixão (State University of Ceará)
Jerffeson Souza (State University of Ceará)

The Optimisation of Stochastic Grammars to Enable Cost-Effective Probabilistic Structural Testing (Page 1477)
Simon Poulding (University of York)
Robert Alexander (University of York)
John A. Clark (University of York)
Mark J. Hadley (University of York)

A Comparison of Two Memetic Algorithms for Software Class Modelling (Page 1485)
Jim Smith (University of the West of England)
Christopher Simons (University of the West of England)

Minimizing Test Suites in Software Product Lines Using Weight-Based Genetic Algorithms (Page 1493)
Shuai Wang (Simula Research Laboratory, University of Oslo)
Shaukat Ali (Simula Research Laboratory, University of Oslo)
Arnaud Gotlieb (Simula Research Laboratory, University of Oslo)

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Track: Self-* Search

Entropy-Based Adaptive Range Parameter Control for Evolutionary Algorithms (Page 1501)
Aldeida Aleti (Monash University)
Irene Moser (Swinburne University of Technology)

Non Stationary Operator Selection with Island Models (Page 1509)
Caner Candan (Université d'Angers)
Adrien Goëffon (Université d'Angers)
Frédéric Lardeux (Université d'Angers)
Frédéric Saubion (Université d'Angers)

Sustainable Cooperative Coevolution with a Multi-Armed Bandit (Page 1517)
François-Michel De Rainville (Université Laval)
Michèle Sebag (Université Paris Sud)
Christian Gagné (Université Laval)
Marc Schoenauer (Université Paris Sud)
Denis Laurendeau (Université Laval)

The Importance of the Learning Conditions in Hyper-Heuristics (Page 1525)
Nuno Lourenço (University of Coimbra)
Francisco B. Pereira (University of Coimbra)
Ernesto Costa (University of Coimbra)

Is the Meta-EA a Viable Optimization Method? (Page 1533)
Sean Luke (George Mason University)
AKM Khaled A. Talukder (George Mason University)

Novelty and Interestingness Measures for Design-Space Exploration (Page 1541)
Edgar Reehuis (LIACS, Leiden University)
Markus Olhofer (Honda Research Institute Europe)
Michael Emmerich (LIACS, Leiden University)
Bernhard Sendhoff (Honda Research Institute Europe)
Thomas Bäck (LIACS, Leiden University)

Generating Single and Multiple Cooperative Heuristics for the One Dimensional Bin Packing Problem Using a Single Node Genetic Programming Island Model (Page 1549)
Kevin Sim (Edinburgh Napier University)
Emma Hart (Edinburgh Napier University)

An Analysis of Post-Selection in Automatic Configuration (Page 1557)
Zhi Yuan (Singapore Management University)
Thomas Stützle (IRIDIA, CoDE, Université Libre de Bruxelles)
Marco A. Montes de Oca (University of Delaware)
Hoong Chuin Lau (Singapore Management University)
Mauro Birattari (IRIDIA, CoDE, Université Libre de Bruxelles)

S-Race: A Multi-Objective Racing Algorithm (Page 1565)
Tiantian Zhang (University of Central Florida)
Michael Georgiopoulos (University of Central Florida)
Georgios C. Anagnostopoulos (Florida Institute of Technology)

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Track: Theory

Can Quantitative and Population Genetics Help Us Understand Evolutionary Computation? (Page 1573)
Nick Barton (Institute Science and Technology Austria)
Tiago Paixão (Institute Science and Technology Austria)

A Method to Derive Fixed Budget Results from Expected Optimisation Times (Page 1581)
Benjamin Doerr (Max Planck Institute for Informatics)
Thomas Jansen (Aberystwyth University)
Carsten Witt (Technical University of Denmark)
Christine Zarges (University of Birmingham)

How the (1+λ) Evolutionary Algorithm Optimizes Linear Functions (Page 1589)
Benjamin Doerr (Max-Planck-Institut für Informatik)
Marvin Künnemann (Max-Planck-Institut für Informatik)

NP-Completeness and the Coevolution of Exact Set Covers (Page 1597)
Jeffrey Horn (Northern Michigan University)

Runtime Analysis of Ant Colony Optimization on Dynamic Shortest Path Problems (Page 1605)
Andrei Lissovoi (Technical University of Denmark)
Carsten Witt (Technical University of Denmark)

Population Size Matters: Rigorous Runtime Results for Maximizing the Hypervolume Indicator (Page 1613)
Anh Quang Nguyen (The University of Adelaide)
Andrew M. Sutton (Colorado State University)
Frank Neumann (The University of Adelaide)

Improved Runtime Analysis of the Simple Genetic Algorithm (Page 1621)
Pietro S. Oliveto (University of Birmingham)
Carsten Witt (Technical University of Denmark)

Particle Swarm Optimization Almost Surely Finds Local Optima (Page 1629)
Manuel Schmitt (University of Erlangen-Nuremberg)
Rolf Wanka (University of Erlangen-Nuremberg)

   
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