Front matter
1-10
On the Quality Gain of (1,λ)-ES Under Fitness Noise
Hans-Georg Beyer and Silja Meyer-Nieberg
11-20
Fitness Distributions and GA Hardness
Yossi Borenstein and Riccardo Poli
21-30
Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization
Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert and Christian Gunia, et al.
31-40
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes
Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert and Christian Gunia, et al.
41-50
Evolutionary Algorithms with On-the-Fly Population Size Adjustment
A. E. Eiben, Elena Marchiori and V. A. Valkó
51-60
Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT
Holger H. Hoos, Kevin Smyth and Thomas Stützle
61-71
Bridging the Gap Between Theory and Practice
Thomas Jansen and R. Paul Wiegand
72-80
A Reduced Markov Model of GAs Without the Exact Transition Matrix
Cheah C. J. Moey and Jonathan E. Rowe
81-90
Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem
Frank Neumann
91-100
On the Importance of Information Speed in Structured Populations
Mike Preuss and Christian Lasarczyk
101-110
Estimating the Number of Solutions for SAT Problems
Colin R. Reeves and Mériéma Aupetit-Bélaidouni
111-120
Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes
Hendrik Richter
121-130
Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover
Cameron Skinner and Patricia Riddle
131-140
An Analysis of the Effectiveness of Multi-parent Crossover
Chuan-Kang Ting
141-150
On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA
Steven van Dijk and Dirk Thierens
151-160
Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation
Jano I. van Hemert and Neil B. Urquhart
161-171
A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover
Richard A. Watson
172-181
Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms
Bo Yuan and Marcus Gallagher
182-191
LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation
Anne Auger, Marc Schoenauer and Nicolas Vanhaecke
192-201
Learning Probabilistic Tree Grammars for Genetic Programming
Peter A. N. Bosman and Edwin D. de Jong
202-211
Sequential Sampling in Noisy Environments
Jürgen Branke and Christian Schmidt
212-221
Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model
Dong-Yeon Cho and Byoung-Tak Zhang
222-231
Spread of Vector Borne Diseases in a Population with Spatial Structure
Dominique Chu and Jonathan E. Rowe
232-241
Hierarchical Genetic Algorithms
Edwin D. de Jong, Dirk Thierens and Richard A. Watson
242-252
Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs
Luis delaOssa, José A. Gámez and José M. Puerta
253-262
Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures
Razvan Enache, Bernhard Sendhoff, Markus Olhofer and Martina Hasenjäger
263-271
Control of Bloat in Genetic Programming by Means of the Island Model
Francisco Fernández-de-Vega, German Galeano Gil, Juan Antonio Gómez Pulido and Jose Luis Guisado
272-281
Saving Resources with Plagues in Genetic Algorithms
Francisco Fernández de Vega, Erik Cantú-Paz, J. I. López and T. Manzano
282-291
Evaluating the CMA Evolution Strategy on Multimodal Test Functions
Nikolaus Hansen and Stefan Kern
292-301
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA
Steven Orla Kimbrough, Ming Lu and David Harlan Wood
302-311
An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem
Gabriele Koller and Günther R. Raidl
312-321
A Novel Programmable Molecular Computing Method Based on Signaling Pathways Regulated by Rho-GTPases in Living MDCK Epithelial Mammalian Cells
Jian-Qin Liu and Katsunori Shimohara
322-331
Empirical Investigations on Parallelized Linkage Identification
Masaharu Munetomo, Naoya Murao and Kiyoshi Akama
332-341
The EAX Algorithm Considering Diversity Loss
Yuichi Nagata
342-351
Topology-Oriented Design of Analog Circuits Based on Evolutionary Graph Generation
Masanori Natsui, Naofumi Homma, Takafumi Aoki and Tatsuo Higuchi
352-361
A Mixed Bayesian Optimization Algorithm with Variance Adaptation
Jiri Ocenasek, Stefan Kern, Nikolaus Hansen and Petros Koumoutsakos
362-371
A Swarm Intelligence Based VLSI Multiplication-and-Add Scheme
Danilo Pani and Luigi Raffo
372-381
Distribution Tree-Building Real-Valued Evolutionary Algorithm
Petr Pošík
382-390
Optimization via Parameter Mapping with Genetic Programming
Joao C. F. Pujol and Riccardo Poli
391-400
Multi-cellular Development: Is There Scalability and Robustness to Gain?
Daniel Roggen and Diego Federici
401-410
Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models
Thomas Philip Runarsson
411-419
Robust Parallel Genetic Algorithms with Re-initialisation
Ivan Sekaj
420-429
Improving Evolutionary Algorithms with Multi-representation Island Models
Zbigniew Skolicki and Kenneth De Jong
430-439
A Powerful New Encoding for Tree-Based Combinatorial Optimisation Problems
Sang-Moon Soak, David Corne and Byung-Ha Ahn
440-449
Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm
Si-Ho Yoo and Sung-Bae Cho
450-460
Metaheuristics for the Vehicle Routing Problem with Stochastic Demands
Leonora Bianchi, Mauro Birattari, Marco Chiarandini, Max Manfrin and Monaldo Mastrolilli, et al.
461-470
AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc Networks
Gianni Di Caro, Frederick Ducatelle and Luca Maria Gambardella
471-480
A Scatter Search Algorithm for the 3D Image Registration Problem
Oscar Cordón, Sergio Damas and José Santamaría
481-490
A Hybrid GRASP – Evolutionary Algorithm Approach to Golomb Ruler Search
Carlos Cotta and Antonio J. Fernández
491-500
Design of an Efficient Search Algorithm for P2P Networks Using Concepts from Natural Immune Systems
Niloy Ganguly, Geoff Canright and Andreas Deutsch
501-510
A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem
Yehudit Hasson and Moshe Sipper
511-521
Designing Multiple-Use Primer Set for Multiplex PCR by Using Compact GAs
Yu-Cheng Huang, Han-Yu Chuang, Huai-Kuang Tsai, Chun-Fan Chang and Cheng-Yan Kao
522-531
Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming
Elsa Jordaan, Arthur Kordon, Leo Chiang and Guido Smits
532-540
Searching Transcriptional Modules Using Evolutionary Algorithms
Je-Gun Joung, Sok June Oh and Byoung-Tak Zhang
541-550
Evolution of Voronoi-Based Fuzzy Controllers
Carlos Kavka and Marc Schoenauer
551-560
Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines
DaeEun Kim
561-570
Evolving Genetic Regulatory Networks for Hardware Fault Tolerance
Arne Koopman and Daniel Roggen
571-580
Evolving Dynamics in an Artificial Regulatory Network Model
P. Dwight Kuo, André Leier and Wolfgang Banzhaf
581-590
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Jingpeng Li and Uwe Aickelin
591-601
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies
Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi and Somak Raychaudhury
602-611
Conference Paper Assignment Using a Combined Greedy/Evolutionary Algorithm
Juan Julián Merelo-Guervós and Pedro Castillo-Valdivieso
612-621
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Jorge Muruzábal and Carlos Cotta
622-632
The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching
Gustavo Olague, Francisco Fernández de Vega, Cynthia B. Pérez and Evelyne Lutton
633-641
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Andrei Petrovski, Bhavani Sudha and John McCall
642-651
An Evolutionary Algorithm for Column Generation in Integer Programming: An Effective Approach for 2D Bin Packing
Jakob Puchinger and Günther R. Raidl
652-661
An Improved Evaluation Function for the Bandwidth Minimization Problem
Eduardo Rodriguez-Tello, Jin-Kao Hao and Jose Torres-Jimenez
662-671
Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model
Georg Schneider, Heiko Wersing, Bernhard Sendhoff and Edgar Körner
672-681
Evolution of Small-World Networks of Automata for Computation
Marco Tomassini, Mario Giacobini and Christian Darabos
682-691
Recognizing Speed Limit Sign Numbers by Evolvable Hardware
Jim Torresen, Jorgen W. Bakke and Lukas Sekanina
692-701
Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation
Jano I. van Hemert and J. A. La Poutré
702-711
Optimising the Performance of a Formula One Car Using a Genetic Algorithm
Krzysztof Wloch and Peter J. Bentley
712-721
An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction
Hussein A. Abbass
722-731
Finding Knees in Multi-objective Optimization
Jürgen Branke, Kalyanmoy Deb, Henning Dierolf and Matthias Osswald
732-741
Multi-objective Parallel Tabu Search
Daniel Jaeggi, Chris Asselin-Miller, Geoff Parks, Timoleon Kipouros and Theo Bell, et al.
742-751
SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2
Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe
752-761
An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints
Saku Kukkonen and Jouni Lampinen
762-771
Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels
Mahdi Mahfouf, Min-You Chen and Derek Arthur Linkens
772-781
Multi-objective Optimisation by Co-operative Co-evolution
Kuntinee Maneeratana, Kittipong Boonlong and Nachol Chaiyaratana
782-791
Sequential Process Optimisation Using Genetic Algorithms
Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy
792-802
On Test Functions for Evolutionary Multi-objective Optimization
Tatsuya Okabe, Yaochu Jin, Markus Olhofer and Bernhard Sendhoff
803-811
Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm
Frédéric Ratle, Benoît Lecarpentier, Richard Labib and François Trochu
812-821
Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms
Olga Rudenko and Marc Schoenauer
822-831
Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption
Tapio Tyni and Jari Ylinen
832-842
Indicator-Based Selection in Multiobjective Search
Eckart Zitzler and Simon Künzli
843-851
Intransitivity in Coevolution
Edwin D. de Jong
852-861
Group Transport of an Object to a Target That Only Some Group Members May Sense
Roderich Groß and Marco Dorigo
862-871
Hawks, Doves and Lifetime Reproductive Success
Philip Hingston and Luigi Barone
872-881
Evolutionary Multi-agent Systems
Pieter J. ’t Hoen and Edwin D. de Jong
882-891
Credit Assignment Among Neurons in Co-evolving Populations
Vineet R. Khare, Xin Yao and Bernhard Sendhoff
892-901
A Visual Demonstration of Convergence Properties of Cooperative Coevolution
Liviu Panait, R. Paul Wiegand and Sean Luke
902-911
Cooperative Coevolution of Image Feature Construction and Object Detection
Mark E. Roberts and Ela Claridge
912-921
Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms
R. Paul Wiegand and Jayshree Sarma
922-931
A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics
Xiufen Zou, Minzhong Liu, Lishan Kang and Jun He
932-941
Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics
Nicolas Godzik, Marc Schoenauer and Michèle Sebag
942-951
A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control
Jacob Hurst and Larry Bull
952-961
An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy
Yoshiaki Katada, Kazuhiro Ohkura and Kanji Ueda
962-971
Translating the Dances of Honeybees into Resource Location
DaeEun Kim
972-981
Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot
Yutaka Nakamura, Takeshi Mori and Shin Ishii
982-990
Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies
Richard Price and Peter Tiňo
991-1000
A Neuroevolutionary Approach to Emergent Task Decomposition
Jekanthan Thangavelautham and Gabriele M. T. D’Eleuterio
1001-1010
Evolving the “Feeling” of Time Through Sensory-Motor Coordination: A Robot Based Model
Elio Tuci, Vito Trianni and Marco Dorigo
1011-1020
An Artificial Immune System for Fuzzy-Rule Induction in Data Mining
Roberto T. Alves, Myriam R. Delgado, Heitor S. Lopes and Alex A. Freitas
1021-1031
Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy
Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà and Josep M. Garrell
1032-1041
A Simple Payoff-Based Learning Classifier System
Larry Bull
1042-1050
Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System
Larry Bull
1051-1060
Knowledge Extraction and Problem Structure Identification in XCS
Martin V. Butz, Pier Luca Lanzi, Xavier Llorà and David E. Goldberg
1061-1070
Forecasting Time Series by Means of Evolutionary Algorithms
Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela and Julio César Hernández Castro
1071-1080
Detecting and Pruning Introns for Faster Decision Tree Evolution
Jeroen Eggermont, Joost N. Kok and Walter A. Kosters
1081-1091
Evolutionary Multiobjective Clustering
Julia Handl and Joshua Knowles
1092-1102
Web Page Classification with an Ant Colony Algorithm
Nicholas Holden and Alex A. Freitas
1103-1112
Oneiric Processing Utilising the Anticipatory Classifier System
Julian C. Holley, Anthony G. Pipe and Brian Carse
1113-1122
Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees
Hirotaka Inoue and Hiroyuki Narihisa
1123-1132
Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems
Hisao Ishibuchi and Satoshi Namba
1133-1142
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Kees Jong, Elena Marchiori and Michèle Sebag
1143-1152
Fast Unsupervised Clustering with Artificial Ants
Nicolas Labroche, Christiane Guinot and Gilles Venturini
1153-1162
A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic Algorithm
Bin Ni and Juan Liu
1163-1171
Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector
Matthew G. Smith and Larry Bull
1172-1181
AgentP Model: Learning Classifier System with Associative Perception
Zhanna V. Zatuchna
Back matter