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GECCO'14 Proceedings

 

GECCO'14 Companion

 

Compilation Author Index

GECCO'14 Proceedings Table of Contents

Welcome
Dirk Arnold (Dalhousie University)

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

Organizers

Track Chairs

Program Committee

Best Paper Nominations

Track: Ant Colony Optimization and Swarm Intelligence Track: Generative and Developmental Systems
Track: Artificial Immune Systems Track: Genetic Algorithms
Track: Artificial Life, Robotics, and Evolvable Hardware Track: Genetic Programming
Track: Biological and Biomedical Applications Track: Integrative Genetic and Evolutionary Computation
Track: Digital Entertainment Technologies and Arts Track: Parallel Evolutionary Systems
Track: Estimation of Distribution Algorithms Track: Real World Applications
Track: Evolution Strategies and Evolutionary Programming Track: Search Based Software Engineering
Track: Evolutionary Combinatorial Optimization and Metaheuristics Track: Self-* Search
Track: Evolutionary Machine Learning Track: Theory
Track: Evolutionary Multiobjective Optimization  
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Track: Ant Colony Optimization and Swarm Intelligence

An Improved Multi-Start Particle Swarm-Based Algorithm for Protein Structure Comparison (Page 1)
Hazem Radwan Ahmed (Queen's University)

Janice I. Glasgow (Queen's University)

SPSO 2011 - Analysis of Stability; Local Convergence, and Rotation Sensitivity (Page 9)
Mohammad Reza Bonyadi (The University of Adelaide)

Zbigniew Michalewicz (The University of Adelaide)

Identifying and Exploiting the Scale of a Search Space in Particle Swarm Optimization (Page 17)
Yasser Gonzalez-Fernandez (York University)

Stephen Chen (York University)

Stepsize Control on the Modified Bacterial Foraging Algorithm for Constrained Numerical Optimization (Page 25)
Betania Hernández-Ocaña (Universidad Juárez Autónoma de Tabasco)

Ma. Del Pilar Pozos-Parra (Universidad Juárez Autónoma de Tabasco)

Efrén Mezura-Montes (Universidad Veracruzana)

A Tribal Ecosystem Inspired Algorithm (TEA) for Global Optimization (Page 33)
Ying Lin (Sun Yat-sen University)

Jing-Jing Li (South China Normal University)

Jun Zhang (Sun Yat-sen University)

Meng Wan (Ministry of Education)

Energy Aware Virtual Machine Placement Scheduling in Cloud Computing Based on Ant Colony Optimization Approach (Page 41)
Xiao-Fang Liu (Sun Yat-sen University)

Zhi-Hui Zhan (Yat-sen University)

Ke-Jing Du (City University of Hong Kong)

Wei-Neng Chen (Sun Yat-sen University)

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Consensus Costs and Conflict in a Collective Movement (Page 49)
Timothy Solum (Southern Nazarene University)

Brent E. Eskridge (Southern Nazarene University)

Ingo Schlupp (University of Oklahoma)

Ant Colony Optimization with Group Learning (Page 57)
Gunnar Völkel (Ulm University)

Markus Maucher (Ulm University)

Uwe Schöning (Ulm University)

Hans A. Kestler (Ulm University)

Anticipatory Stigmergic Collision Avoidance under Noise (Page 65)
Friedrich Burkhard von der Osten (The University of Melbourne)

Michael Kirley (The University of Melbourne)

Tim Miller (The University of Melbourne)

Differential Evolution Using Mutation Strategy with Adaptive Greediness Degree Control (Page 73)
Wei-Jie Yu (Sun Yat-sen University)

Jing-Jing Li (South China Normal University)

Jun Zhang (Sun Yat-sen University)

Meng Wan (Ministry of Education)

Constrained Multi-Objective Aerodynamic Shape Optimization via Swarm Intelligence (Page 81)
Saúl Zapotecas Martínez (Shinshu University)

Alfredo Arias Montano (IPN-ESIME)

Carlos A. Coello Coello (CINVESTAV-IPN)

Automatic Path Planning for Autonomous Underwater Vehicles Based on an Adaptive Differential Evolution (Page 89)
Chuan-Bin Zhang (Sun Yat-sen University)

Yue-Jiao Gong (Sun Yat-sen University)

Jing-Jing Li (South China Normal University)

Ying Lin (Sun Yat-sen University)

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Track: Artificial Immune Systems

A Two-Leveled Hybrid Dendritic Cell Algorithm Under Imprecise Reasoning (Page 97)
Zeineb Chelly (High Institute of Management of Tunis)

Zied Elouedi (High Institute of Management of Tunis)

Clonal Selection Based Fuzzy C-Means Algorithm for Clustering (Page 105)
Simone A. Ludwig (North Dakota State University)

On the Runtime Analysis of Stochastic Ageing Mechanisms (Page 113)
Pietro S. Oliveto (University of Sheffield)

Dirk Sudholt (University of Sheffield)

An Improved Immune Inspired Hyper-Heuristic for Combinatorial Optimisation Problems (Page 121)
Kevin Sim (Edinburgh Napier University)

Emma Hart (Edinburgh Napier University)

A Generic Finite Automata Based Approach to Implementing Lymphocyte Repertoire Models (Page 129)
Johannes Textor (Universiteit Utrecht)

Katharina Dannenberg (Universität zu Lübeck)

Macie Liśkiewicz (Universität zu Lübeck)

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Track: Artificial Life, Robotics, and Evolvable Hardware

Adapting to a Changing Environment Using Winner and Loser Effects (Page 137)
Jeremy Acre (Southern Nazarene University)

Brent E. Eskridge (Southern Nazarene University)

Nicholas Zoller (Southern Nazarene University)

Ingo Schlupp (University of Oklahoma)

Evolution of Biologically Plausible Neural Networks Performing a Visually Guided Reaching Task (Page 145)
Derrik E. Asher (University of California, Irvine)

Jeffrey L. Krichmar (University of California, Irvine)

Nicolas Oros (University of California, Irvine)

Evolution of Honest Signaling by Social Punishment (Page 153)
David Catteeuw (Vrije Universiteit Brussel)

The Anh Han (Vrije Universiteit Brussel)

Bernard Manderick (Vrije Universiteit Brussel)

Automated Generation of Environments to Test the General Learning Capabilities of AI Agents (Page 161)
Oliver J. Coleman (University of New South Wales)

Alan D. Blair (University of New South Wales)

Jeff Clune (University of Wyoming)

Evolution of Communication and Cooperation (Page 169)
Jason Fairey (Washington State University)

Terence Soule (University of Idaho)

The Evolution of Kin Inclusivity Levels (Page 177)
Anya Elaine Johnson (Michigan State University)

Heather J. Goldsby (University of Washington)

Sherri Goings (Carleton College)

Charles Ofria (Michigan State University)

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Overcoming Deception in Evolution of Cognitive Behaviors (Page 185)
Joel Lehman (University of Texas at Austin)

Risto Miikkulainen (University of Texas at Austin)

Encouraging Creative Thinking in Robots Improves Their Ability to Solve Challenging Problems (Page 193)
Jingyu Li (University of Wyoming)

Jed Storie (University of Wyoming)

Jeff Clune (University of Wyoming)

Coevolutionary Learning of Swarm Behaviors without Metrics (Page 201)
Wei Li (The University of Sheffield)

Melvin Gauci (The University of Sheffield)

Roderich Gross (The University of Sheffield)

Evolving Joint-Level Control with Digital Muscles (Page 209)
Jared M. Moore (Michigan State University)

Philip K. McKinley (Michigan State University)

Directional Communication in Evolved Multiagent Teams (Page 217)
Justin K. Pugh (University of Central Florida)

Skyler Goodell (University of Central Florida)

Kenneth O. Stanley (University of Central Florida)

Generational Neuro-Evolution: Restart and Retry for Improvement (Page 225)
David Shorten (University of Cape Town)

Geoff Stuart Nitschke (University of Cape Town)

A Novel Human-Computer Collaboration: Combining Novelty Search with Interactive Evolution (Page 233)
Brian G. Woolley (Air Force Institute of Technology)

Kenneth O. Stanley (University of Central Florida)

Wolfpack-Inspired Evolutionary Algorithm and a Reaction-Diffusion-Based Controller are Used for Pattern Formation (Page 241)
Payam Zahadat (Karl-Franzens University Graz)

Thomas Schmickl (Karl-Franzens University Graz)

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Track: Biological and Biomedical Applications

Multiple Feature Construction for Effective Biomarker Identification and Classification Using Genetic Programming (Page 249)
Soha Ahmed (Victoria University of Wellington)

Mengjie Zhang (Victoria University of Wellington)

Lifeng Peng (Victoria University of Wellington)

Bing Xue (Victoria University of Wellington)

Enhancing Genetic Algorithm-Based Genome-Scale Metabolic Network Curation Efficiency (Page 257)
Eddy J. Bautista (University of Connecticut)

Ranjan Srivastava (University of Connecticut)

GA-Based Selection of Vaginal Microbiome Features Associated with Bacterial Vaginosis (Page 265)
Joi Carter (North Carolina A&T State University)

Daniel Beck (University of Idaho)

Henry Williams (North Carolina A&T State University)

Gerry Dozier (North Carolina A&T State University)

James A. Foster (University of Idaho)

Predicting Patterns of Gene Expression During Drosophila Embryogenesis (Page 269)
Rotem Golan (University of Calgary)

Christian Jacob (University of Calgary)

Savraj Grewal (University of Calgary)

Jörg Denzinger (University of Calgary)

Multiple Graph Edit Distance - Simultaneous Topological Alignment of Multiple Protein-Protein Interaction Networks with an Evolutionary Algorithm (Page 277)
Rashid Ibragimov (Max-Planck-Institut für Informatik & Saarland University)

Maximilian Malek (Saarland University)

Jan Baumbach (University of Southern Denmark)

Jiong Guo (Saarland University)

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Track: Digital Entertainment Technologies and Arts

Virtual Photography Using Multi-Objective Particle Swarm Optimization (Page 285)
William Barry (Sheridan College)

Brian J. Ross (Brock University)

Monte Mario: Platforming with MCTS (Page 293)
Emil Juul Jacobsen (IT University of Copenhagen)

Rasmus Greve (IT University of Copenhagen)

Julian Togelius (IT University of Copenhagen)

Semantic Aware Methods for Evolutionary Art (Page 301)
Penousal Machado (University of Coimbra)

João Correia (University of Coimbra)

Automatic Design of Sound Synthesizers as Pure Data Patches Using Coevolutionary Mixed-Typed Cartesian Genetic Programming (Page 309)
Matthieu Macret (Simon Fraser University)

Philippe Pasquier (Simon Fraser University)

EVOR: An Online Evolutionary Algorithm for Car Racing Games (Page 317)
Samadhi Nallaperuma (The University of Adelaide)

Frank Neumann (The University of Adelaide)

Mohammad Reza Bonyadi (The University of Adelaide)

Zbigniew Michalewicz (The University of Adelaide)

Evolving Multimodal Behavior with Modular Neural Networks in Ms. Pac-Man (Page 325)
Jacob Schrum (The University of Texas at Austin)

Risto Miikkulainen (The University of Texas at Austin)

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Track: Estimation of Distribution Algorithms

Minimal Walsh Structure and Ordinal Linkage of Monotonicity-Invariant Function Classes on Bit Strings (Page 333)
Lee A. Christie (Robert Gordon University)

John A. W. McCall (Robert Gordon University)

David P. Lonie (Robert Gordon University)

Solving Building Block Problems Using Generative Grammar (Page 341)
Chris R. Cox (University of Southampton)
Richard A. Watson (University of Southampton, UK)

Estimation of Distribution Algorithm Using Factor Graph and Markov Blanket Canonical Factorization (Page 349)
B. Hoda Helmi (Iran University of Science and Technology)

Adel T. Rahmani (Iran University of Science and Technology)

Multi-Objective Gene-Pool Optimal Mixing Evolutionary Algorithms (Page 357)
Ngoc Hoang Luong (Centrum Wiskunde & Informatica (CWI))
Han La Poutré (Centrum Wiskunde & Informatica (CWI))
Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))

Multimodality and the Linkage-Learning Difficulty of Additively Separable Functions (Page 365)
Jean Martins (University of São Paulo)

Alexandre C. B. Delbem (University of São Paulo)

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Track: Evolution Strategies and Evolutionary Programming

Comparison-based Natural Gradient Optimization in High Dimension (Page 373)
Youhei Akimoto (Shinshu University)

Anne Auger (INRIA)

Nikolaus Hansen (INRIA)

Halfspace Sampling in Evolution Strategies (Page 381)
Chun-Kit Au (The Chinese University of Hong Kong)

Ho-Fung Leung (The Chinese University of Hong Kong)

Handling Sharp Ridges with Local Supremum Transformations (Page 389)
Tobias Glasmachers (Ruhr-Universität Bochum)

A Computationally Efficient Limited Memory CMA-ES for Large Scale Optimization (Page 397)
Ilya Loshchilov (École Polytechnique Fédérale de Lausanne)

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Track: Evolutionary Combinatorial Optimization and Metaheuristics

Evolutionary Algorithms for Overlapping Correlation Clustering (Page 405)
Carlos E. Andrade (University of Campinas)

Mauricio G. C. Resende (AT&T Labs Research)

Howard J. Karloff (Yahoo! Labs)

Flávio K. Miyazawa (University of Campinas)

On the Efficiency of Worst Improvement for Climbing NK-Landscapes (Page 413)
Matthieu Basseur (Université d'Angers)

Adrien Goëffon (Université d'Angers)

Socially Inspired Algorithms for the Traveling Thief Problem (Page 421)
Mohammad Reza Bonyadi (The University of Adelaide)

Zbigniew Michalewicz (The University of Adelaide)

Michał Roman Przybyłek (Polish-Japanese Institute of Information Technology)

Adam Wierzbicki (Polish-Japanese Institute of Information Technology)

NSGA-II with Iterated Greedy for a Bi-Objective Three-Stage Assembly Flowshop Scheduling Problem (Page 429)
Saulo Cunha Campos (Universidade Federal de Viçosa)

José Elias Claudio Arroyo (Universidade Federal de Viçosa)

Efficient Identification of Improving Moves in a Ball for Pseudo-Boolean Problems (Page 437)
Francisco Chicano (Universidad de Málaga)

Darrell Whitley (Colorado State University)

Andrew M. Sutton (Friedrich-Schiller-Universität Jena)

A Hybrid Incremental Genetic Algorithm for Subgraph Isomorphism Problem (Page 445)
HyukGeun Choi (Seoul National University)

Jinhyun Kim (Seoul National University)

Byung-Ro Moon (Seoul National University)

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Data-Driven Local Optima Network Characterization of QAPLIB Instances (Page 453)
David Iclǎnzan (University of Lausanne)

Fabio Daolio (University of Lausanne)

Marco Tomassini (University of Lausanne)

A Heuristic Approach to Schedule Reoptimization in the Context of Interactive Optimization (Page 461)
David Meignan (Universität Osnabrück)

Static vs. Dynamic Populations in Genetic Algorithms for Coloring a Dynamic Graph (Page 469)
Cara Monical (Centre College)

Forrest Stonedahl (Centre College)

A Comprehensive Benchmark Set and Heuristics for the Traveling Thief Problem (Page 477)
Sergey Polyakovskiy (The University of Adelaide)

Mohammad Reza Bonyadi (The University of Adelaide)

Markus Wagner (The University of Adelaide)

Zbigniew Michalewicz (The University of Adelaide)

Frank Neumann (The University of Adelaide)

Performance of Metropolis Algorithm for the Minimum Weight Code Word Problem (Page 485)
Ajitha Shenoy K B (Indian Institute of Technology)

Somenath Biswas (Indian Institute of Technology)

Piyush P Kurur (Indian Institute of Technology)

Asymmetric Quadratic Landscape Approximation Model (Page 493)
Alexandru-Adrian Tantar (University of Luxembourg)

Emilia Tantar (University of Luxembourg)

Oliver Schütze (CINVESTAV-IPN)

Generalized Asymmetric Partition Crossover (GAPX) for the Asymmetric TSP (Page 501)
Renato Tinós (University of São Paulo)

Darrell Whitley (Colorado State University)

Gabriela Ochoa (University of Stirling)

Revised Analysis of the (1+1) EA for the Minimum Spanning Tree Problem (Page 509)
Carsten Witt (Technical University of Denmark)

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Track: Evolutionary Machine Learning

Simultaneous Generation of Prototypes and Features Through Genetic Programming (Page 517)
Mauricio García-Limón (Instituto Nacional de Astrofísica, Óptica y Electrónica)

Hugo Jair Escalante (Instituto Nacional de Astrofísica, Óptica y Electrónica)

Eduardo Morales (Instituto Nacional de Astrofísica, Óptica y Electrónica)

Alicia Morales-Reyes (Instituto Nacional de Astrofísica, Óptica y Electrónica)

Salient Object Detection Using Learning Classifier Systems that Compute Action Mappings (Page 525)
Muhammad Iqbal (Victoria University of Wellington)

Syed S. Naqvi (Victoria University of Wellington)

Will N. Browne (Victoria University of Wellington)

Christopher Hollitt (Victoria University of Wellington)

Mengjie Zhang (Victoria University of Wellington)

SAX-EFG: An Evolutionary Feature Generation Framework for Time Series Classification (Page 533)
Uday Kamath (George Mason University)

Jessica Lin (George Mason University)

Kenneth De Jong (George Mason University)

Evolving Deep Unsupervised Convolutional Networks for Vision-based Reinforcement Learning (Page 541)
Jan Koutník (IDSIA, USI-SUPSI)

Jürgen Schmidhuber (IDSIA, USI-SUPSI)

Faustino Gomez (IDSIA, USI-SUPSI)

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Three-Cornered Coevolution Learning Classifier Systems for Classification Tasks (Page 549)
Syahaneim Marzukhi (National Defence University Malaysia (NDUM))

Will N. Browne (Victoria University of Wellington (VUW))

Mengjie Zhang (Victoria University of Wellington (VUW))

Complete Action Map or Best Action Map in Accuracy-based Reinforcement Learning Classifier Systems (Page 557)
Masaya Nakata (The University of Electro-Communications)

Pier Luca Lanzi (Politecnico di Milano)

Tim Kovacs (University of Bristol)

Keiki Takadama (The University of Electro-Communications)

A Modified XCS Classifier System for Sequence Labeling (Page 565)
Masaya Nakata (The University of Electro-Communications)

Tim Kovacs (University of Bristol)

Keiki Takadama (The University of Electro-Communications)

A Memetic Algorithm to Select Training Data for Support Vector Machines (Page 573)
Jakub Nalepa (Silesian University of Technology)

Michal Kawulok (Silesian University of Technology)

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Track: Evolutionary Multiobjective Optimization

Steady State IBEA Assisted by MLP Neural Networks for Expensive Multi-Objective Optimization Problems (Page 581)
Nessrine Azzouz (University of Tunis)

Slim Bechikh (University of Tunis)

Lamjed Ben Said (University of Tunis)

Two-Dimensional Subset Selection for Hypervolume and Epsilon-Indicator (Page 589)
Karl Bringmann (Max Planck Institute for Informatics)

Tobias Friedrich (Friedrich-Schiller-Universität Jena)

Patrick Klitzke (Universität des Saarlandes)

Improving Many-Objective Optimization Performance by Sequencing Evolutionary Algorithms (Page 597)
Martin Dohr (Graz University of Technology)

Bernd Eichberger (Graz University of Technology)

Efficiently Identifying Pareto Solutions When Objective Values Change (Page 605)
Jonathan E. Fieldsend (University of Exeter)

Richard M. Everson (University of Exeter)

The Parameter Optimization of Kalman Filter Based on Multi-Objective Memetic Algorithm (Page 613)
Yu-Dan Huo (China University of Geosciences)

Zhi-Hua Cai (China University of Geosciences)

Wen-Yin Gong (China University of Geosciences)

Qin Liu (China University of Geosciences)

A Framework for the Study of Preference Incorporation in Multiobjective Evolutionary Algorithms (Page 621)
Raluca Iordache (University POLITEHNICA)

Serban Iordache (SCOOP Software GmbH)

Florica Moldoveanu (University POLITEHNICA)

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Controlling Selection Area of Useful Infeasible Solutions and Their Archive for Directed Mating in Evolutionary Constrained Multiobjective Optimization (Page 629)
Minami Miyakawa (The University of Electro-Communications)

Keiki Takadama (The University of Electro-Communications)

Hiroyuki Sato (The University of Electro-Communications)

Hypervolume-based Local Search in Multi-Objective Evolutionary Optimization (Page 637)
Martin Pilát (Charles University in Prague)

Roman Neruda (Academy of Sciences of the Czech Republic)

Inverted PBL in MOEA/D and its Impact on the Search Performance on Multi and Many-Objective Optimization (Page 645)
Hiroyuki Sato (The University of Electro-Communications)

Hybridization of Electromagnetism with Multi-Objective Evolutionary Algorithms for RCPSP (Page 653)
Jing Xiao (South China Normal University)

Zhou Wu (South China Normal University)

Jian-Chao Tang (South China Normal University)

An Improved NSGA-III Procedure for Evolutionary Many-Objective Optimization (Page 661)
Yuan Yuan (Tsinghua University)

Hua Xu (Tsinghua University)

Bo Wang (Tsinghua University)

Evolutionary Many-Objective Optimization Using Ensemble Fitness Ranking (Page 669)
Yuan Yuan (Tsinghua University)

Hua Xu (Tsinghua University)

Bo Wang (Tsinghua University)

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Track: Generative and Developmental Systems

There and Back Again: Gene-Processing Hardware for the Evolution and Robotic Deployment of Robust Navigation Strategies (Page 689)
David M. Bryson (Michigan State University)

Aaron P. Wagner (Michigan State University)

Charles Ofria (Michigan State University)

Evolving Neural Networks that are Both Modular and Regular: HyperNeat Plus the Connection Cost Technique (Page 697)
Joost Huizinga (University of Wyoming)

Jeff Clune (University of Wyoming)

Jean-Baptiste Mouret (Université Pierre et Marie Curie-Paris)

Trading Control Intelligence for Physical Intelligence: Muscle Drives in Evolved Virtual Creatures (Page 705)
Dan Lessin (The University of Texas at Austin)

Don Fussell (The University of Texas at Austin)

Risto Miikkulainen (The University of Texas at Austin)

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Guided Self-Organization in Indirectly Encoded and Evolving Topographic Maps (Page 713)
Sebastian Risi (IT University of Copenhagen)

Kenneth O. Stanley (University of Central Florida)

Some Distance Measures for Morphological Diversification in Generative Evolutionary Robotics (Page 721)
Eivind Samuelsen (University of Oslo)

Kyrre Glette (University of Oslo)

Growth in Co-Evolution of Sensory System and Signal Processing for Optimal Wing Control (Page 729)
Olga Smalikho (Technische Universität Darmstadt)

Markus Olhofer (Honda Research Institute Europe)

Novelty Search Creates Robots with General Skills for Exploration (Page 737)
Roby Velez (University of Wyoming)

Jeff Clune (University of Wyoming)

A Continuous Developmental Model for Wind Farm Layout Optimization (Page 745)
Dennis Wilson (Massachusetts Institute of Technology)

Sylvain Cussat-Blanc (University of Toulouse)

Kalyan Veeramachaneni (Massachusetts Institute of Technology)

Una-May O'Reilly (Massachusetts Institute of Technology)

Hervé Luga (University of Toulouse)

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Track: Genetic Algorithms

Monotonic Functions in EC: Anything but Monotone! (Page 753)
Sylvain Colin (École Polytechnique)

Benjamin Doerr (École Polytechnique)

Gaspard Férey (École Polytechnique)

Adaptive-Surrogate Based on a Neuro-Fuzzy Network and Granular Computing (Page 761)
Israel Cruz-Vega (INAOE)

Mauricio Garcia-Limon (INAOE)

Hugo Jair Escalante (INAOE)

Unbiased Black-Box Complexities of Jump Functions – How to Cross Large Plateaus (Page 769)
Benjamin Doerr (École Polytechnique & Paris-Saclay)

Carola Doerr (CNRS & University Pierre et Marie Curie)

Timo Kötzing (Friedrich-Schiller-Universität)

Runtime Analysis for Maximizing Population Diversity in Single-Objective Optimization (Page 777)
Wanru Gao (The University of Adelaide)

Frank Neumann (The University of Adelaide)

Parameter-less Population Pyramid (Page 785)
Brian W. Goldman (Michigan State University)

William F. Punch (Michigan State University)

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Genetic Algorithm for Sampling from Scale-Free Data and Networks (Page 793)
Pavel Krömer (University of Alberta & Technical University of Ostrava)

Jan Platoš (VŠB-Technical University of Ostrava)

Stochastic Tunneling Transformation During Selection in Genetic Algorithm (Page 801)
Benjamin E. Mayer (Technische Universität Darmstadt)

Kay Hamacher (Technische Universität Darmstadt)

A Fixed Budget Analysis of Randomized Search Heuristics for the Traveling Salesperson Problem (Page 807)
Samadhi Nallaperuma (The University of Adelaide)

Frank Neumann (The University of Adelaide)

Dirk Sudholt (The University of Sheffield)

From Fitness Landscape to Crossover Operator Choice (Page 815)
Stjepan Picek (Radboud University Nijmegen)

Domagoj Jakobović (University of Zagreb)

Evolving QWOP Gaits (Page 823)
Steven Ray (CSU Sacramento)

V. Scott Gordon (CSU Sacramento)

Laurent Vaucher (Google, Inc.)

Search for Maximal Snake-in-the-Box Using New Genetic Algorithm (Page 831)
Kim-Hang Ruiz (International MIS)

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Feedback Control for Multi-Modal Optimization Using Genetic Algorithms (Page 839)
Jun Shi (Carnegie Mellon University)

Ole J. Mengshoel (Carnegie Mellon University)

Dipan K. Pal (Carnegie Mellon University)

A Bilevel Optimization Approach to Automated Parameter Tuning (Page 847)
Ankur Sinha (Aalto University School of Business)

Pekka Malo (Aalto University School of Business)

Peng Xu (Aalto University School of Business)

Kalyanmoy Deb (Michigan State University)

Learning the Structure of Large-Scale Bayesian Networks Using Genetic Algorithm (Page 855)
Fatemeh Vafaee (The University of Sydney)

Among-Site Rate Variation: Adaptation of Genetic Algorithm Mutation Rates at Each Single Site (Page 863)
Fatemeh Vafaee (The University of Sydney)

György Turán (University of Illinois at Chicago & MTA-SZTE Research Group on Artificial Intelligence)

Peter C. Nelson (University of Illinois at Chicago)

Tanya Y. Berger-Wolf (University of Illinois at Chicago)

Efficient Global Optimization for Combinatorial Problems (Page 871)
Martin Zaefferer (Cologne University of Applied Sciences)

Jörg Stork (Cologne University of Applied Sciences)

Martina Friese (Cologne University of Applied Sciences)

Andreas Fischbach (Cologne University of Applied Sciences)

Boris Naujoks (Cologne University of Applied Sciences)

Thomas Bartz-Beielstein (Cologne University of Applied Sciences)

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Track: Genetic Programming

Multiple Regression Genetic Programming (Page 879)
Ignacio Arnaldo (Massachusetts Institute of Technology)

Krzysztof Krawiec (Poznan University of Technology)

Una-May O'Reilly (Massachusetts Institute of Technology)

GPU-Parallel SubTree Interpreter for Genetic Programming (Page 887)
Alberto Cano (University of Cordoba)

Sebastián Ventura ()

Kaizen Programming (Page 895)
Vinícius Veloso De Melo (Federal University of São Paulo)

On Size, Complexity and Generalisation Error in GP (Page 903)
Jeannie Fitzgerald (University of Limerick)

Conor Ryan (University of Limerick)

Asynchronously Evolving Solutions with Excessively Different Evaluation Time by Reference-based Evaluation (Page 911)
Tomohiro Harada (The University of Electro-Communications & Japan Society for the Promotion of Science DC1)

Keiki Takadama (The University of Electro-Communications)

Word Count as a Traditional Programming Benchmark Problem for Genetic Programming (Page 919)
Thomas Helmuth (University of Massachusetts)

Lee Spector (Hampshire College)

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Evolving "Less-myopic" Scheduling Rules for Dynamic Job Shop Scheduling with Genetic Programming (Page 927)
Rachel Hunt (Victoria University of Wellington)

Mark Johnston (Victoria University of Wellington)

Mengjie Zhang (Victoria University of Wellington)

Behavioral Programming: A Broader and More Detailed Take on Semantic GP (Page 935)
Krzysztof Krawiec (Poznan University of Technology)

Una-May O'Reilly (Massachusetts Institute of Technology)

Utilization of Reductions and Abstraction Elimination in Typed Genetic Programming (Page 943)
Tomáš Křen (Charles University in Prague)

Roman Neruda (Academy of Sciences of the Czech Republic)

Improving 3D Medical Image Registration CUDA Software with Genetic Programming (Page 951)
William B. Langdon (University College, London)

Marc Modat (University College, London)

Justyna Petke (University College, London)

Mark Harman (University College, London)

Grammar-Based Genetic Programming with Dependence Learning and Bayesian Network Classifier (Page 959)
Pak-Kan Wong (The Chinese University of Hong Kong)

Leung-Yau Lo (The Chinese University of Hong Kong)

Man-Leung Wong (Lingnan University)

Kwong-Sak Leung (The Chinese University of Hong Kong)

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Track: Integrative Genetic and Evolutionary Computation

Neuro-Evolutionary Topology Optimization of Structures by Utilizing Local State Features (Page 967)
Nikola Aulig (Honda Research Institute Europe GmbH)

Markus Olhofer (Honda Research Institute Europe GmbH)

Evolutionary Algorithms and Artificial Immune Systems on a Bi-Stable Dynamic Optimisation Problem (Page 975)
Thomas Jansen (Aberystwyth University)

Christine Zarges (University of Birmingham)

Derivative Free Optimization Using a Population-based Stochastic Gradient Estimator (Page 983)
Azhar Khayrattee (Intersil Corporation)

Georgios C. Anagnostopoulos (Florida Institute of Technology)

A Novel Population-Based Multi-Objective CMA-ES and the Impact of Different Constraint Handling Techniques (Page 991)
Silvio Rodrigues (Delft University of Technology)

Pavol Bauer (Delft University of Technology)

Peter A.N. Bosman (Centrum Wiskunde & Informatica (CWI))

Use of Explicit Memory in the Dynamic Traveling Salesman Problem (Page 999)
Renato Tinós (University of São Paulo)

Darrell Whitley (Colorado State University)

Adele Howe (Colorado State University)

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Track: Parallel Evolutionary Systems

Solving GA-Hard Problems with EMMRS and GPGPUs (Page 1007)
J. Ignacio Hidalgo (Universidad Complutense de Madrid)

J. Manuel Colmenar (Universidad Complutense de Madrid)

Jose L. Risco-Martín (Universidad Complutense de Madrid)

Carlos Sánchez-Lacruz (Universidad Complutense de Madrid)

Juan Lanchares (Universidad Complutense de Madrid)

Oscar Garnica (Universidad Complutense de Madrid)

Josefa Díaz (Universidad de Extremadura)

Towards Highly Optimized Cartesian Genetic Programming: From Sequential via SIMD and Thread to Massive Parallel Implementation (Page 1015)
Radek Hrbacek (Brno University of Technology)

Lukas Sekanina (Brno University of Technology)

GPU-Accelerated Evolutionary Design of the Complete Exchange Communication on Wormhole Networks (Page 1023)
Jiri Jaros (Brno University of Technology)

Radek Tyrala (AT&T Mobility)

MapReduce-Based Optimization of Overlay Networks Using Particle Swarm Optimization (Page 1031)
Simone A. Ludwig (North Dakota State University)

Enhancing Parallel Cooperative Trajectory Based Metaheuristics with Path Relinking (Page 1039)
Gabriel Luque (Universidad de Málaga)

Enrique Alba (Universidad de Málaga)

Design and Analysis of Adaptive Migration Intervals in Parallel Evolutionary Algorithms (Page 1047)
Andrea Mambrini (University of Birmingham)

Dirk Sudholt (University of Sheffield)

An Implicitly Parallel EDA Based on Restricted Boltzmann Machines (Page 1055)
Malte Probst (University of Mainz)

Franz Rothlauf (University of Mainz)

Jörn Grahl (University of Mainz)

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Track: Real World Applications

Playing Regex Golf with Genetic Programming (Page 1063)
Alberto Bartoli (University of Trieste)

Andrea De Lorenzo (University of Trieste)

Eric Medvet (University of Trieste)

Fabiano Tarlao (University of Trieste)

The Tradeoffs Between Data Delivery Ratio and Energy Costs in Wireless Sensor Networks: A Multi-Objective Evolutionary Framework for Protocol Analysis (Page 1071)
Doina Bucur (University of Groningen)

Giovanni Iacca (INCAS3)

Giovanni Squillero (Politecnico di Torino)

Alberto Tonda (INRA UMR 782 GMPA)

Automated Vibrational Design and Natural Frequency Tuning of Multi-Material Structures (Page 1079)
Nicholas Cheney (Cornell University)

Ethan Ritz (Cornell University)

Hod Lipson (Cornell University)

Hierarchical Simulation for Complex Domains: Air Traffic Flow Management (Page 1087)
William Curran (Oregon State University)

Adrian Agogino (NASA AMES Research Center)

Kagan Tumer (Oregon State University)

Using an Adaptive Invasion-Based Model for Fast Range Image Registration (Page 1095)
Ivanoe De Falco (ICAR-CNR)

Antonio Della Cioppa (University of Salerno)

Domenico Maisto (ICAR-CNR)

Umberto Scafuri (ICAR-CNR)

Ernesto Tarantino (ICAR-CNR)

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Recognizing Planar Kinematic Mechanisms from a Single Image Using Evolutionary Computation (Page 1103)
Matthew Eicholtz (Carnegie Mellon University)

Levent Burak Kara (Carnegie Mellon University)

Jason Lohn (Carnegie Mellon University - Silicon Valley)

Passive Solar Building Design Using Genetic Programming (Page 1111)
M. Zubair Mahdi Oraeï Gholami (Brock University)

Brian J. Ross (Brock University)

Quantum Inspired Genetic Algorithm for Community Structure Detection in Social Networks (Page 1119)
Shikha Gupta (University of Delhi)

Sheetal Taneja (University of Delhi)

Naveen Kumar (University of Delhi)

Evolved Spacecraft Trajectories for Low Earth Orbit (Page 1127)
David W. Hinckley Jr. (University of Vermont)

Karol Zieba (University of Vermont)

Darren L. Hitt (University of Vermont)

Margaret J. Eppstein (University of Vermont)

Dynamic Multi-Dimensional PSO with Indirect Encoding for Proportional Fair Constrained Resource Allocation (Page 1135)
Jonathan Hudson (University of Calgary)

Majid Ghaderi (University of Calgary)

Jörg Denzinger (University of Calgary)

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Genetic Algorithms and Deep Learning for Automatic Painter Classification (Page 1143)
Erez Levy (Bar-Ilan University)

Omid E. David (Bar-Ilan University)

Nathan S. Netanyahu (Bar-Ilan University)

Lithology Discrimination Using Seismic Elastic Attributes: A Genetic Fuzzy Classifier Approach (Page 1151)
Eric da S. Praxedes (Pontifical Catholic University of Rio de Janeiro)

Adriano S. Koshiyama (Pontifical Catholic University of Rio de Janeiro)

Elita S. Abreu (University of Houston)

Douglas M. Dias (Pontifical Catholic University of Rio de Janeiro)

Marley M. B. R. Vellasco (Pontifical Catholic University of Rio de Janeiro)

Marco A.C. Pacheco (Pontifical Catholic University of Rio de Janeiro)

Evolutionary Parameter Estimation for a Theory of Planned Behaviour Microsimulation of Alcohol Consumption Dynamics in an English Birth Cohort 2003 to 2010 (Page 1159)
Robin C. Purshouse (University of Sheffield)

Abdallah K. Ally (University of Sheffield)

Alan Brennan (University of Sheffield)

Daniel Moyo (University of Sheffield)

Paul Norman (University of Sheffield)

Evolutionary Algorithms for Classification of Malware Families through Different Network Behaviors (Page 1167)
M. Zubair Rafique (KU Leuven)

Ping Chen (KU Leuven)

Christophe Huygens (KU Leuven)

Wouter Joosen (KU Leuven)

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Multi-Objective Routing Optimisation for Battery-Powered Wireless Sensor Mesh Networks (Page 1175)
Alma A. M. Rahat (University of Exeter)

Richard M. Everson (University of Exeter)

Jonathan E. Fieldsend (University of Exeter)

Applying GA with Local Search by Taking Hamming Distances into Consideration to Credit Erasure Processing Problems (Page 1183)
Yuji Sato (Hosei University)

Yusuke Oku (Hosei University)

Masanori Fukuda (Hitachi Management Partner Corp.)

Genetic Algorithm-Based Solver for Very Large Multiple Jigsaw Puzzles of Unknown Dimensions and Piece Orientation (Page 1191)
Dror Sholomon (Bar-Ilan University)

Omid E. David (Bar-Ilan University)

Nathan S. Netanyahu (Bar-Ilan University & University of Maryland)

On Homogenization of Coal in Longitudinal Blending Beds (Page 1199)
Pradyumn Kumar Shukla (Karlsruhe Institute of Technology)

Michael P. Cipold (J&C Bachmann GmbH)

Claus Bachmann (J&C Bachmann GmbH)

Hartmut Schmeck (Karlsruhe Institute of Technology)

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Eco-Friendly Reduction of Travel Times in European Smart Cities (Page 1207)
Daniel H. Stolfi (University of Malaga)

Enrique Alba (University of Malaga)

Evolutionary Agent-Based Simulation of the Introduction of New Technologies in Air Traffic Management (Page 1215)
Logan Yliniemi (Oregon State University)

Adrian Agogino (UCSC at NASA Ames)

Kagan Tumer (Oregon State University)

Tuning Multi-Objective Optimization Algorithms for Cyclone Dust Separators (Page 1223)
Martin Zaefferer (Cologne University of Applied Sciences)

Beate Breiderhoff (Cologne University of Applied Sciences)

Boris Naujoks (Cologne University of Applied Sciences)

Martina Friese (Cologne University of Applied Sciences)

Jörg Stork (Cologne University of Applied Sciences)

Andreas Fischbach (Cologne University of Applied Sciences)

Oliver Flasch (Cologne University of Applied Sciences)

Thomas Bartz-Beielstein (Cologne University of Applied Sciences)

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Track: Search Based Software Engineering

Improved Heuristics for Solving OCL Constraints Using Search Algorithms (Page 1231)
Shaukat Ali (Simula Research Laboratory)

Muhammad Zohaib Iqbal (National University of Computer & Emerging Sciences)

Andrea Arcuri (Simula Research Laboratory)

Surrogate-Assisted Optimisation of Composite Applications in Mobile Ad HOC Networks (Page 1239)
Dionysios Efstathiou (King's College London)

Peter McBurney (King's College London)

Steffen Zschaler (King's College London)

Johann Bourcier (University of Rennes 1)

Robust Next Release Problem: Handling Uncertainty During Optimization (Page 1247)
Lingbo Li (University College London)

Mark Harman (University College London)

Emmanuel Letier (University College London)

Yuanyuan Zhang (University College London)

A Parallel Evolutionary Algorithm for Prioritized Pairwise Testing of Software Product Lines (Page 1255)
Roberto E. Lopez-Herrejon (Johannes Kepler University)

Javier Ferrer (Universidad de Málaga)

Francisco Chicano (Universidad de Málaga)

Evelyn Nicole Haslinger (Johannes Kepler University)

Alexander Egyed (Johannes Kepler University)

Enrique Alba (Universidad de Malaga)

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High Dimensional Search-Based Software Engineering: Finding Tradeoffs Among 15 Objectives for Automating Software Refactoring Using NSGA-III (Page 1263)
Wiem Mkaouer (University of Michigan)

Marouane Kessentini (University of Michigan)

Slim Bechikh (University of Michigan)

Kalyanmoy Deb (Michigan State University)

Mel Ó Cinnéide (University College Dublin)

Comparing Search Techniques for Finding Subtle Higher Order Mutants (Page 1271)
Elmahdi Omar (Colorado State University)

Sudipto Ghosh (Colorado State University)

Darrell Whitley (Colorado State University)

Generating Structured Test Data with Specific Properties Using Nested Monte-Carlo Search (Page 1279)
Simon Poulding (University of York)

Robert Feldt (Blekinge Institute of Technology)

On the Performance of Multiple Objective Evolutionary Algorithms for Software Architecture Discovery (Page 1287)
Aurora Ramírez (University of Córdoba)

José Raúl Romero (University of Córdoba)

Sebastián Ventura (University of Córdoba)

Applying Search Algorithms for Optimizing Stakeholders Familiarity and Balancing Workload in Requirements Assignment (Page 1295)
Tao Yue (Simula Research Laboratory)

Shaukat Ali (Simula Research Laboratory)

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Track: Self-* Search

Fair-Share ILS: A Simple State-of-the-Art Iterated Local Search Hyperheuristic. (Page 1303)
Steven Adriaensen (Vrije Universiteit Brussel)

Tim Brys (Vrije Universiteit Brussel)

Ann Nowé (Vrije Universiteit Brussel)

A Grammatical Evolution Based Hyper-Heuristic for the Automatic Design of Split Criteria (Page 1311)
Márcio P. Basgalupp (Universidade Federal de São Paulo)

Rodrigo C. Barros (Pontifícia Universidade, Brazil)

Tiago Barabasz (Universidade Federal de São Paulo)

Generic Parameter Control with Reinforcement Learning (Page 1319)
Giorgos Karafotias (VU University)

Agoston Endre Eiben (VU University)

Mark Hoogendoorn (VU University)

Evolvability Metrics in Adaptive Operator Selection (Page 1327)
Jorge A. Soria-Alcaraz (Instituto Tecnologico de Leon)

Gabriela Ochoa (University of Stirling)

Martin Carpio (Instituto Tecnologico de Leon)

Hector Puga (Instituto Tecnologico de Leon)

On the Pathological Behavior of Adaptive Differential Evolution on Hybrid Objective Functions (Page 1335)
Ryoji Tanabe (The University of Tokyo)

Alex S. Fukunaga (The University of Tokyo)

Analysis of Evolutionary Algorithms Using Multi-Objective Parameter Tuning (Page 1343)
Roberto Ugolotti (University of Parma)

Stefano Cagnoni (University of Parma)

Online Model Racing Based on Extreme Performance (Page 1351)
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

Evolution under Partial Information (Page 1359)
Duc-Cuong Dang (University of Nottingham)

Per Kristian Lehre (University of Nottingham)

Refined Upper Bounds on the Expected Runtime of Non-Elitist Populations from fitness-Levels (Page 1367)
Duc-Cuong Dang (University of Nottingham)

Per Kristian Lehre (University of Nottingham)

The Impact of Random Initialization on the Runtime of Randomized Search Heuristics (Page 1375)
Benjamin Doerr (École Polytechnique)

Carola Doerr (CNRS & Universite Pierre et Marie Curie)

Robustness of Populations in Stochastic Environments (Page 1383)
Christian Gießen (Christian-Albrechts-Universität zu Kiel)

Timo Kötzing (Friedrich-Schiller-Universität Jena)

Concentration of First Hitting Times under Additive Drift (Page 1391)
Timo Kötzing (Fiedrich-Schiller-Universität Jena)

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MMAS vs. Population-based EA on a Family of Dynamic Fitness Functions (Page 1399)
Andrei Lissovoi (Technical University of Denmark)

Carsten Witt (Technical University of Denmark)

Model-Optimal Optimization by Solving Bellman Equations (Page 1407)
Alan J. Lockett (Dalle Molle Institute for Artificial Intelligence Studies)

A Theoretical Analysis of Volume Based Pareto front Approximations (Page 1415)
Pradyumn Kumar Shukla (Karlsruhe Institute of Technology)

Nadja Doll (Karlsruhe Institute of Technology)

Hartmut Schmeck (Karlsruhe Institute of Technology)

Gaussian Mixture Model of Evolutionary Algorithms (Page 1423)
Bo Song (The University of Hong Kong)

Victor O. K. Li (The University of Hong Kong)

Superpolynomial Lower Bounds for the (1+1) EA on Some Easy Combinatorial Problems (Page 1431)
Andrew M. Sutton (Friedrich-Schiller-Universität Jena)

Runtime Analysis to Compare Best-Improvement and First-Improvement in Memetic Algorithms (Page 1439)
Kuai Wei (University of Auckland)

Michael J. Dinneen (University of Auckland)