8. PPSN 2004: Birmingham, UK

Theory

• Hans-Georg Beyer, Silja Meyer-Nieberg:
  On the Quality Gain of (1, lambda)-ES Under Fitness Noise. 1-10
  
• Yossi Borenstein, Riccardo Poli:
  Fitness Distributions and GA Hardness. 11-20
  
• Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener:
  Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization. 21-30
  
• Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener:
  The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes. 31-40
  
• A. E. Eiben, Elena Marchiori, V. A. Valkó:
  Evolutionary Algorithms with On-the-Fly Population Size Adjustment. 41-50
  
• Holger H. Hoos, Kevin Smyth, Thomas Stützle:
  Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. 51-60
  
• Thomas Jansen, R. Paul Wiegand:
  Bridging the Gap Between Theory and Practice. 61-71
  
• Cheah C. J. Moey, Jonathan E. Rowe:
  A Reduced Markov Model of GAs Without the Exact Transition Matrix. 72-80
  
• Frank Neumann:
  Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem. 81-90
  
• Mike Preuss, Christian Lasarczyk:
  On the Importance of Information Speed in Structured Populations. 91-100
  
• Colin R. Reeves, Mériéma Aupetit-Bélaidouni:
  Estimating the Number of Solutions for SAT Problems. 101-110
  
• Hendrik Richter:
  Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes. 111-120
  
• Cameron Skinner, Patricia J. Riddle:
  Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform Crossover. 121-130
  
• Chuan-Kang Ting:
  An Analysis of the Effectiveness of Multi-parent Crossover. 131-140
  
• Steven van Dijk, Dirk Thierens:
  On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GA. 141-150
  
• Jano I. van Hemert, Neil Urquhart:
  Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary Computation. 151-160
  
• Richard A. Watson:
  A Simple Two-Module Problem to Exemplify Building-Block Assembly Under Crossover. 161-171
  
• Bo Yuan, Marcus Gallagher:
  Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary Algorithms. 172-181
  

New Algorithms

• Anne Auger, Marc Schoenauer, Nicolas Vanhaecke:
  LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix Adaptation. 182-191
  
• Peter A. N. Bosman, Edwin D. de Jong:
  Learning Probabilistic Tree Grammars for Genetic Programming. 192-201
  
• Jürgen Branke, Christian Schmidt:
  Sequential Sampling in Noisy Environments. 202-211
  
• Dong-Yeon Cho, Byoung-Tak Zhang:
  Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture Model. 212-221
  
• Dominique Chu, Jonathan E. Rowe:
  Spread of Vector Borne Diseases in a Population with Spatial Structure. 222-231
  
• Edwin D. de Jong, Dirk Thierens, Richard A. Watson:
  Hierarchical Genetic Algorithms. 232-241
  
• Luis de la Ossa, José A. Gámez, Jose Miguel Puerta:
  Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAs. 242-252
  
• Razvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger:
  Comparison of Steady-State and Generational Evolution Strategies for Parallel Architectures. 253-262
  
• Francisco Fernández de Vega, Germán Galeano Gil, Juan Antonio Gómez Pulido, Jose Luis Guisado:
  Control of Bloat in Genetic Programming by Means of the Island Model. 263-271
  
• Francisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano:
  Saving Resources with Plagues in Genetic Algorithms. 272-281
  
• Nikolaus Hansen, Stefan Kern:
  Evaluating the CMA Evolution Strategy on Multimodal Test Functions. 282-291
  
• Steven Orla Kimbrough, Ming Lu, David Harlan Wood:
  Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA. 292-301
  
• Gabriele Koller, Günther R. Raidl:
  An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment Problem. 302-311
  
• Jian-Qin Liu, Katsunori Shimohara:
  A Novel Programmable Molecular Computing Method Based on Signaling Pathways Regulated by Rho-GTPases in Living MDCK Epithelial Mammalian Cells. 312-321
  
• Masaharu Munetomo, Naoya Murao, Kiyoshi Akama:
  Empirical Investigations on Parallelized Linkage Identification. 322-331
  
• Yuichi Nagata:
  The EAX Algorithm Considering Diversity Loss. 332-341
  
• Masanori Natsui, Naofumi Homma, Takafumi Aoki, Tatsuo Higuchi:
  Topology-Oriented Design of Analog Circuits Based on Evolutionary Graph Generation. 342-351
  
• Jiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos:
  A Mixed Bayesian Optimization Algorithm with Variance Adaptation. 352-361
  
• Danilo Pani, Luigi Raffo:
  A Swarm Intelligence Based VLSI Multiplication-and-Add Scheme. 362-371
  
• Petr Posik:
  Distribution Tree-Building Real-Valued Evolutionary Algorithm. 372-381
  
• João Carlos Figueira Pujol, Riccardo Poli:
  Optimization via Parameter Mapping with Genetic Programming. 382-390
  
• Daniel Roggen, Diego Federici:
  Multi-cellular Development: Is There Scalability and Robustness to Gain? 391-400
  
• Thomas Philip Runarsson:
  Constrained Evolutionary Optimization by Approximate Ranking and Surrogate Models. 401-410
  
• Ivan Sekaj:
  Robust Parallel Genetic Algorithms with Re-initialisation. 411-419
  
• Zbigniew Skolicki, Kenneth A. De Jong:
  Improving Evolutionary Algorithms with Multi-representation Island Models. 420-429
  
• Sang-Moon Soak, David Corne, Byung-Ha Ahn:
  A Powerful New Encoding for Tree-Based Combinatorial Optimisation Problems. 430-439
  
• Si-Ho Yoo, Sung-Bae Cho:
  Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means Algorithm. 440-449
  
• Leonora Bianchi, Mauro Birattari, Marco Chiarandini, Max Manfrin, Monaldo Mastrolilli, Luis Paquete, Olivia Rossi-Doria, Tommaso Schiavinotto:
  Applications Metaheuristics for the Vehicle Routing Problem with Stochastic Demands. 450-460
  
• Gianni Di Caro, Frederick Ducatelle, Luca Maria Gambardella:
  AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc Networks. 461-470
  
• Oscar Cordón, Sergio Damas, Jose Santamaría:
  A Scatter Search Algorithm for the 3D Image Registration Problem. 471-480
  
• Carlos Cotta, Antonio J. Fernández:
  A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler Search. 481-490
  
• Niloy Ganguly, Geoffrey Canright, Andreas Deutsch:
  Design of an Efficient Search Algorithm for P2P Networks Using Concepts from Natural Immune Systems. 491-500
  
• Yehudit Hasson, Moshe Sipper:
  A Novel Ant Algorithm for Solving the Minimum Broadcast Time Problem. 501-510
  
• Yu-Cheng Huang, Han-Yu Chuang, Huai-Kuang Tsai, Chun-Fan Chang, Cheng-Yan Kao:
  Designing Multiple-Use Primer Set for Multiplex PCR by Using Compact GAs. 511-521
  
• Elsa Jordaan, Arthur K. Kordon, Leo H. Chiang, Guido Smits:
  Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming. 522-531
  
• Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang:
  Searching Transcriptional Modules Using Evolutionary Algorithms. 532-540
  
• Carlos Kavka, Marc Schoenauer:
  Evolution of Voronoi-Based Fuzzy Controllers. 541-550
  
• DaeEun Kim:
  Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State Machines. 551-560
  
• Arne Koopman, Daniel Roggen:
  Evolving Genetic Regulatory Networks for Hardware Fault Tolerance. 561-570
  
• P. Dwight Kuo, André Leier, Wolfgang Banzhaf:
  Evolving Dynamics in an Artificial Regulatory Network Model. 571-580
  
• Jingpeng Li, Uwe Aickelin:
  The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling. 581-590
  
• Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi, Somak Raychaudhury:
  An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies. 591-601
  
• Juan J. Merelo Guervós, Pedro A. Castillo Valdivieso:
  Conference Paper Assignment Using a Combined Greedy/Evolutionary Algorithm. 602-611
  
• Jorge Muruzábal, Carlos Cotta:
  A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures. 612-621
  
• Gustavo Olague, Francisco Fernández de Vega, Cynthia B. Pérez, Evelyne Lutton:
  The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching. 622-632
  
• Andrei Petrovski, Bhavani Sudha, John A. W. McCall:
  Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms. 633-641
  
• Jakob Puchinger, Günther R. Raidl:
  An Evolutionary Algorithm for Column Generation in Integer Programming: An Effective Approach for 2D Bin Packing. 642-651
  
• Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-Jimenez:
  An Improved Evaluation Function for the Bandwidth Minimization Problem. 652-661
  
• Georg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner:
  Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition Model. 662-671
  
• Marco Tomassini, Mario Giacobini, Christian Darabos:
  Evolution of Small-World Networks of Automata for Computation. 672-681
  
• Jim Torresen, Jorgen W. Bakke, Lukás Sekanina:
  Recognizing Speed Limit Sign Numbers by Evolvable Hardware. 682-691
  
• Jano I. van Hemert, Johannes A. La Poutré:
  Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary Computation. 692-701
  
• Krzysztof Wloch, Peter J. Bentley:
  Optimising the Performance of a Formula One Car Using a Genetic Algorithm. 702-711
  

Multi-objective Optimisation

• Hussein A. Abbass:
  An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and Interaction. 712-721
  
• Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald:
  Finding Knees in Multi-objective Optimization. 722-731
  
• Daniel Jaeggi, Chris Asselin-Miller, Geoffrey T. Parks, Timoleon Kipouros, Theo Bell, P. John Clarkson:
  Multi-objective Parallel Tabu Search. 732-741
  
• Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe:
  SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2. 742-751
  
• Saku Kukkonen, Jouni Lampinen:
  An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints. 752-761
  
• Mahdi Mahfouf, Min-You Chen, Derek A. Linkens:
  Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels. 762-771
  
• Kuntinee Maneeratana, Kittipong Boonlong, Nachol Chaiyaratana:
  Multi-objective Optimisation by Co-operative Co-evolution. 772-781
  
• Victor Oduguwa, Ashutosh Tiwari, Rajkumar Roy:
  Sequential Process Optimisation Using Genetic Algorithms. 782-791
  
• Tatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff:
  On Test Functions for Evolutionary Multi-objective Optimization. 792-802
  
• Frédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu:
  Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm. 803-811
  
• Olga Rudenko, Marc Schoenauer:
  Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms. 812-821
  
• Tapio Tyni, Jari Ylinen:
  Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption. 822-831
  
• Eckart Zitzler, Simon Künzli:
  Indicator-Based Selection in Multiobjective Search. 832-842
  

Co-evolution

• Edwin D. de Jong:
  Intransitivity in Coevolution. 843-851
  
• Roderich Groß, Marco Dorigo:
  Group Transport of an Object to a Target That Only Some Group Members May Sense. 852-861
  
• Philip Hingston, Luigi Barone:
  Hawks, Doves and Lifetime Reproductive Success. 862-871
  
• Pieter Jan't Hoen, Edwin D. de Jong:
  Evolutionary Multi-agent Systems. 872-881
  
• Vineet R. Khare, Xin Yao, Bernhard Sendhoff:
  Credit Assignment Among Neurons in Co-evolving Populations. 882-891
  
• Liviu Panait, R. Paul Wiegand, Sean Luke:
  A Visual Demonstration of Convergence Properties of Cooperative Coevolution. 892-901
  
• Mark E. Roberts, Ela Claridge:
  Cooperative Coevolution of Image Feature Construction and Object Detection. 902-911
  
• R. Paul Wiegand, Jayshree Sarma:
  Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms. 912-921
  
• Xiufen Zou, Minzhong Liu, Lishan Kang, Jun He:
  A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of Thermodynamics. 922-931
  
• Nicolas Godzik, Marc Schoenauer, Michèle Sebag:
  Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary Robotics. 932-941
  
• Jacob Hurst, Larry Bull:
  A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot Control. 942-951
  
• Yoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda:
  An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate Strategy. 952-961
  
• DaeEun Kim:
  Translating the Dances of Honeybees into Resource Location. 962-971
  
• Yutaka Nakamura, Takeshi Mori, Shin Ishii:
  Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped Robot. 972-981
  
• Richard Price, Peter Tiño:
  Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent Strategies. 982-990
  
• Jekanthan Thangavelautham, Gabriele M. T. D'Eleuterio:
  A Neuroevolutionary Approach to Emergent Task Decomposition. 991-1000
  
• Elio Tuci, Vito Trianni, Marco Dorigo:
  Evolving the "Feeling" of Time Through Sensory-Motor Coordination: A Robot Based Model. 1001-1010
  

Learning Classifier Systems and Data Mining

• Roberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas:
  An Artificial Immune System for Fuzzy-Rule Induction in Data Mining. 1011-1020
  
• Jaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu:
  Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and Accuracy. 1021-1031
  
• Larry Bull:
  A Simple Payoff-Based Learning Classifier System. 1032-1041
  
• Larry Bull:
  Lookahead and Latent Learning in a Simple Accuracy-Based Classifier System. 1042-1050
  
• Martin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg:
  Knowledge Extraction and Problem Structure Identification in XCS. 1051-1060
  
• Cristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro:
  Forecasting Time Series by Means of Evolutionary Algorithms. 1061-1070
  
• Jeroen Eggermont, Joost N. Kok, Walter A. Kosters:
  Detecting and Pruning Introns for Faster Decision Tree Evolution. 1071-1080
  
• Julia Handl, Joshua D. Knowles:
  Evolutionary Multiobjective Clustering. 1081-1091
  
• Nicholas Holden, Alex Alves Freitas:
  Web Page Classification with an Ant Colony Algorithm. 1092-1102
  
• Julian C. Holley, Anthony G. Pipe, Brian Carse:
  Oneiric Processing Utilising the Anticipatory Classifier System. 1103-1112
  
• Hirotaka Inoue, Hiroyuki Narihisa:
  Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural Trees. 1113-1122
  
• Hisao Ishibuchi, Satoshi Namba:
  Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems. 1123-1132
  
• Kees Jong, Elena Marchiori, Michèle Sebag:
  Ensemble Learning with Evolutionary Computation: Application to Feature Ranking. 1133-1142
  
• Nicolas Labroche, Christiane Guinot, Gilles Venturini:
  Fast Unsupervised Clustering with Artificial Ants. 1143-1152
  
• Bin Ni, Juan Liu:
  A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic Algorithm. 1153-1162
  
• Matthew G. Smith, Larry Bull:
  Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature Selector. 1163-1171
  
• Zhanna V. Zatuchna:
  AgentP Model: Learning Classifier System with Associative Perception. 1172-1182
  

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