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8th PPSN 2004: Birmingham, UK
- Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan Julián Merelo Guervós
, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel:
Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, ISBN 3-540-23092-0
Theory
- Hans-Georg Beyer
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
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
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
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
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 F. 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, José 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
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
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
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 M. 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
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
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling. 581-590 - Jin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies. 591-601 - Juan Julián Merelo Guervós, Pedro Ángel 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
The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Matching. 622-632 - Andrei Petrovski
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
Evolution of Small-World Networks of Automata for Computation. 672-681 - Jim Tørresen, Jorgen W. Bakke, Lukás Sekanina:
Recognizing Speed Limit Sign Numbers by Evolvable Hardware. 682-691 - Jano I. van Hemert
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
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
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
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
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
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 Goble 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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