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Papers Nominated for Best Paper Awards

Track 1: Ant Colony Optimization, Swarm Intelligence, and Artificial Immune Systems

Collective Intelligence and Bush Fire Spotting (Page 41)
David Howden (Swinburne University of Technology)
Tim Hendtlass (Swinburne University of Technology)

Convergence Behavior of the Fully Informed Particle Swarm Optimization Algorithm (Page 71)
Marco A. Montes de Oca (Université Libre de Bruxelles)
Thomas Stützle (Université Libre de Bruxelles)

Evolutionary Swarm Design of Architectural Idea Models (Page 143)
Sebastian von Mammen (University of Calgary)
Christian Jacob (University of Calgary)

Theoretical and Empirical Study of Particle Swarms with Additive Stochasticity and Different Recombination Operators (Page 95)
Jorge Peña (Université de Lausanne)

Track 2: Artificial Life, Evolutionary Robotics, Adaptive Behavior, Evolvable Hardware

The Influence of Scaling and Assortativity on Takeover Times in Scale-Free Topologies (Page 241)
Joshua L. Payne (University of Vermont)
Margaret J. Eppstein (University of Vermont)

Designing Multi-Rover Emergent Specialization (Page 233)
Geoff S. Nitschke (Vrije Universiteit)
Martijn C. Schut (Vrije Universiteit)

A Multi-scaled Approach to Artificial Life Simulation With P Systems and Dissipative Particle Dynamics (Page 249)
James Smaldon (University of Nottingham)
Jonathan Blakes (University of Nottingham)
Natalio Krasnogor (University of Nottingham)
Doron Lancet (Weizmann Institute of Science)

Modular Neuroevolution for Multilegged Locomotion (Page 265)
Vinod K. Valsalam (The University of Texas at Austin)
Risto Miikkulainen (The University of Texas at Austin)

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Track 3: Bioinformatics and Computational Biology

An Efficient Probabilistic Population-Based Descent for the Median Genome Problem (Page 315)
Adrien Goëffon (INRIA Bordeaux Sud-Ouest)
Macha Nikolski (CNRS / LaBRI)
David J. Sherman (INRIA Bordeaux Sud-Ouest)

Structure and Parameter Estimation for Cell Systems Biology Models (Page 331)
Francisco J. Romero-Campero (University of Nottingham)
Hongqing Cao (University of Nottingham)
Miguel Cámara (University of Nottingham)
Natalio Krasnogor (University of Nottingham)

Mask Functions for the Symbolic Modeling of Epistasis Using Genetic Programming (Page 339)
Ryan J. Urbanowicz (Dartmouth College)
Nate Barney (Dartmouth College)
Bill C. White (Dartmouth College)
Jason H. Moore (Dartmouth College)

Track 4: Coevolution

An Empirical Comparison of Evolution and Coevolution for Designing Artificial Neural Network Game Players (Page 379)
Min Shi (Norwegian University of Science and Technology)

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Track 5: Estimation of Distribution Algorithms

Using Previous Models to Bias Structural Learning in the Hierarchical BOA (Page 415)
Mark Hauschild (University of Missouri at St. Louis)
Martin Pelikan (University of Missouri at St. Louis)
Kumara Sastry (University of Illinois at Urbana-Champaign)
David E. Goldberg (University of Illinois at Urbana-Champaign)

On the Effectiveness of Distributions Estimated by Probabilistic Model Building (Page 391)
Chung-Yao Chuang (National Chiao Tung University)
Ying-ping Chen (National Chiao Tung University)

From Mating Pool Distributions to Model Overfitting (Page 431)
Claudio F. Lima (University of Algarve)
Fernando G. Lobo (University of Algarve)
Martin Pelikan (University of Missouri at St. Louis)

Track 6: Evolution Strategies, Evolutionary Programming

Why Noise May be Good: Additive Noise on the Sharp Ridge (Page 511)
Silja Meyer-Nieberg (Universität der Bundeswehr Muenchen)
Hans-Georg Beyer (Vorarlberg University of Applied Sciences)

Functionally Specialized CMA-ES: A Modification of CMA-ES Based on the Specialization of the Functions of Covariance Matrix Adaptation and Step Size Adaptation (Page 479)
Youhei Akimoto (Tokyo Institute of Technology)
Jun Sakuma (Tokyo Institute of Technology)
Isao Ono (Tokyo Institute of Technology)
Shigenobu Kobayashi (Tokyo Institute of Technology)

Aiming for a Theoretically Tractable CSA Variant by Means of Empirical Investigations (Page 503)
Jens Jägersküpper (TU Dortmund)
Mike Preuss (TU Dortmund)

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Track 7: Evolutionary Combinatorial Optimization

A Study of NK Landscapes' Basins and Local Optima Networks (Page 555)
Gabriela Ochoa (University of Nottingham)
Marco Tomassini (University of Lausanne)
Sebástien Vérel (CNRS-University of Nice)
Christian Darabos (University of Lausanne)

Crossover Can Provably Be Useful in Evolutionary Computation (Page 539)
Benjamin Doerr (Max-Planck-Institut für Informatik)
Edda Happ (Max-Planck-Institut für Informatik)
Christian Klein (Max-Planck-Institut für Informatik)

Track 8: Evolutionary Multiobjective Optimization

A New Memetic Strategy for the Numerical Treatment of Multi-Objective Optimization Problems (Page 705)
Oliver Schuetze (CINVESTAV-IPN)
Gustavo Sanchez (Simon Bolivar University)
Carlos A. Coello Coello (CINVESTAV-IPN)

Introducing MONEDA: Scalable Multiobjective Optimization with a Neural Estimation of Distribution Algorithm (Page 689)
Luis Martí (Universidad Carlos III de Madrid)
Jesús García (Universidad Carlos III de Madrid)
Antonio Berlanga (Universidad Carlos III de Madrid)
José M. Molina (Universidad Carlos III de Madrid)

Pattern Identification in Pareto-Set Approximations (Page 737)
Tamara Ulrich (ETH Zurich)
Dimo Brockhoff (ETH Zurich)
Eckart Zitzler (ETH Zurich)

Benefits and Drawbacks for the Use of Є-Dominance in Evolutionary Multi-Objective Optimization (Page 641)
Christian Horoba (Technische Universität Dortmund)
Frank Neumann (Max-Planck-Institut für Informatik)

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Track 9: Formal Theory

Computing Minimum Cuts by Randomized Search Heuristics (Page 779)
Frank Neumann (Max-Planck-Institut für Informatik)
Joachim Reichel (TU Berlin)
Martin Skutella (TU Berlin)

Memetic Algorithms with Variable-Depth Search to Overcome Local Optima (Page 787)
Dirk Sudholt (Technische Universität Dortmund)

Precision, Local Search and Unimodal Functions (Page 771)
Martin Dietzfelbinger (Technische Universität Ilmenau)
Jonathan E. Rowe (University of Birmingham)
Ingo Wegener (Technische Universität Dortmund)
Philipp Woelfel (University of Calgary)

Track 10: Generative and Developmental Systems

Generative Encoding for Multiagent Learning (Page 819)
David B. D'Ambrosio (University of Central Florida)
Kenneth O. Stanley (University of Central Florida)

A Cellular Model for the Evolutionary Development of Lightweight Material with an Inner Structure (Page 851)
Till Steiner (Honda Research Institute Europe GmbH)
Yaochu Jin (Honda Research Institute Europe GmbH)
Bernhard Sendhoff (Honda Research Institute Europe GmbH)

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Track 11: Genetic Algorithms

Optimal Sampling of Genetic Algorithms on Polynomial Regression (Page 1089)
Tian-Li Yu (National Taiwan University)
Wei-Kai Lin (National Taiwan University)

Rank Based Variation Operators for Genetic Algorithms (Page 905)
Jorge Cervantes (Universidad Autónoma Metropolitana)
Christopher R. Stephens (Universidad Nacional Autónoma de México)

Theoretical Analysis of Diversity Mechanisms for Global Exploration (Page 945)
Tobias Friedrich (Max-Planck-Institut für Informatik)
Pietro S. Oliveto (University of Birmingham)
Dirk Sudholt (Technische Universität Dortmund)
Carsten Witt (Technische Universität Dortmund)

Rigorous Analyses of Fitness-Proportional Selection for Optimizing Linear Functions (Page 953)
Edda Happ (Max-Planck-Institut für Informatik)
Daniel Johannsen (Max-Planck-Institut für Informatik)
Christian Klein (Max-Planck-Institut für Informatik)
Frank Neumann (Max-Planck-Institut für Informatik)

Track 12: Genetic Programming

Parsimony Pressure Made Easy (Page 1267)
Riccardo Poli (University of Essex)
Nicholas Freitag McPhee (University of Minnesota, Morris)

The Impact of Population Size on Code Growth in GP: Analysis and Empirical Validation (Page 1275)
Riccardo Poli (University of Essex)
Nicholas Freitag McPhee (University of Minnesota, Morris)
Leonardo Vanneschi (University of Milano­Bicocca)

Rapid Prediction of Optimum Population Size in Genetic Programming Using a Novel Genotype - Fitness Correlation (Page 1315)
David C. Wedge (The University of Manchester)
Douglas B. Kell (The University of Manchester)

Learning to Recognise Mental Activities: Genetic Programming of Stateful Classifiers for Brain-Computer Interfacing (Page 1155)
Alexandros Agapitos (University of Essex)
Matthew Dyson (University of Essex)
Simon M. Lucas (University of Essex)
Francisco Sepulveda (University of Essex)

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Track 13: Genetics-Based Machine Learning and Learning Classifier Systems

Context-Dependent Predictions and Cognitive Arm Control with XCSF (Page 1357)
Martin V. Butz (University of Würzburg)
Oliver Herbort (University of Würzburg)

Track 14: Real-World Application

Speeding Online Synthesis via Enforced Selecto-Recombination (Page 1635)
Shunsuke Saruwatari (University of Illinois at Urbana-Champaign)
Xavier Llorà (University of Illinois at Urbana-Champaign)
Noriko Imafuji Yasui (University of Illinois at Urbana-Champaign)
Hiroshi Tamura (Hakuhodo Inc.)
Kumara Sastry (University of Illinois at Urbana-Champaign)
David E. Goldberg (University of Illinois at Urbana-Champaign)

Evolved Bayesian Networks as a Versatile Alternative to Partin Tables for Prostate Cancer Management (Page 1547)
Ratiba Kabli (The Robert Gordon University)
John McCall (The Robert Gordon University)
Frank Herrmann (The Robert Gordon University)
Eng Ong (Aberdeen Royal Infirmary)

Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization (Page 1469)
Omid David-Tabibi (Bar-Ilan University)
Moshe Koppel (Bar-Ilan University)
Nathan S. Netanyahu (Bar-Ilan University)

Multiobjective Robustness for Portfolio Optimization in Volatile Environments (Page 1507)
Ghada Hassan (University College London)
Christopher Clack (University College London)

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Track 15: Search-based Software Engineering

Empirical Analysis of a Genetic Algorithm-based Stress Test Technique (Page 1743)
Vahid Garousi (University of Calgary)

Fitness Calculation Approach for the Switch-Case Construct in Evolutionary Testing (Page 1767)
Yan Wang (Xidian University)
Zhiwen Bai (Xidian University)
Miao Zhang (Xidian University)
Wen Du (Xidian University)
Ying Qin (Xidian University)
Xiyang Liu (Xidian University)

Searching for Liveness Property Violations in Concurrent Systems with ACO (Page 1727)
Enrique Alba (University of Málaga)
Francisco Chicano (University of Málaga)