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GECCO 2004: Seattle, WA, USA
- Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell:
Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6
Genetic Algorithms (Continued)
- Marco Antonio Paz-Ramos, Jose Torres-Jimenez, Enrique Quintero-Marmol-Marquez, Hugo Estrada-Esquivel:
PID Controller Tuning for Stable and Unstable Processes Applying GA. 1-10 - Gerulf K. M. Pedersen, David E. Goldberg:
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms. 11-23 - Martin Pelikan, Tz-Kai Lin:
Parameter-Less Hierarchical BOA. 24-35 - Martin Pelikan, Jiri Ocenasek, Simon Trebst, Matthias Troyer, Fabien Alet:
Computational Complexity and Simulation of Rare Events of Ising Spin Glasses. 36-47 - Martin Pelikan, Kumara Sastry:
Fitness Inheritance in the Bayesian Optimization Algorithm. 48-59 - Farzan Rashidi, Mehran Rashidi:
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms. 60-68 - Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen:
Evolving Reusable Neural Modules. 69-81 - Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Julstrom:
How Are We Doing? Predicting Evolutionary Algorithm Performance. 82-89 - Laure Rigal, Bruno Castanier, Philippe Castagliola:
Introduction of a New Selection Parameter in Genetic Algorithm for Constrained Reliability Design Problems. 90-101 - Eduardo Rodriguez-Tello, Jose Torres-Jimenez:
Improving the Performance of a Genetic Algorithm Using a Variable-Reordering Algorithm. 102-113 - Kumara Sastry, David E. Goldberg:
Designing Competent Mutation Operators Via Probabilistic Model Building of Neighborhoods. 114-125 - Kumara Sastry, David E. Goldberg:
Let's Get Ready to Rumble: Crossover Versus Mutation Head to Head. 126-137 - Lothar M. Schmitt:
Classification with Scaled Genetic Algorithms in a Coevolutionary Setting. 138-149 - Dong-il Seo, Sung-Soon Choi, Byung Ro Moon:
New Epistasis Measures for Detecting Independently Optimizable Partitions of Variables. 150-161 - Weiguo Sheng, Allan Tucker, Xiaohui Liu:
Clustering with Niching Genetic K-means Algorithm. 162-173 - Andrea Soltoggio:
A Comparison of Genetic Programming and Genetic Algorithms in the Design of a Robust, Saturated Control System. 174-185 - Matthew J. Streeter:
Upper Bounds on the Time and Space Complexity of Optimizing Additively Separable Functions. 186-197 - Hal Stringer, Annie S. Wu:
Winnowing Wheat from Chaff: The Chunking GA. 198-209 - Joc Cing Tay, Djoko Wibowo:
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules. 210-221 - Masaru Tezuka, Masaharu Munetomo, Kiyoshi Akama:
Linkage Identification by Nonlinearity Check for Real-Coded Genetic Algorithms. 222-233 - Dirk Thierens:
Population-Based Iterated Local Search: Restricting Neighborhood Search by Crossover. 234-245 - Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
Modeling Dependencies of Loci with String Classification According to Fitness Differences. 246-257 - Carsten Tzschoppe, Franz Rothlauf, Hans Josef Pesch:
The Edge-Set Encoding Revisited: On the Bias of a Direct Representation for Trees. 258-270 - Sima Uyar, Sanem Sariel, Gülsen Eryigit:
A Gene Based Adaptive Mutation Strategy for Genetic Algorithms. 271-281 - L. Darrell Whitley, Keith Bush, Jonathan E. Rowe:
Subthreshold-Seeking Behavior and Robust Local Search. 282-293 - L. Darrell Whitley, Monte Lunacek, James N. Knight:
Ruffled by Ridges: How Evolutionary Algorithms Can Fail. 294-306 - Christopher Willis-Ford, Terence Soule:
Non-stationary Subtasks Can Improve Diversity in Stationary Tasks. 307-317 - Mark Wineberg, Jun Chen:
The Shifting Balance Genetic Algorithm as More than Just Another Island Model GA. 318-329 - Alden H. Wright, Greg Cripe:
Bistability of the Needle Function in the Presence of Truncation Selection. 330-342 - Alden H. Wright, Riccardo Poli, Christopher R. Stephens, William B. Langdon, Sandeep Pulavarty:
An Estimation of Distribution Algorithm Based on Maximum Entropy. 343-354 - Tian-Li Yu, David E. Goldberg:
Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm. 355-366 - Tian-Li Yu, David E. Goldberg:
Toward an Understanding of the Quality and Efficiency of Model Building for Genetic Algorithms. 367-378
Genetic Algorithms - Posters
- Mark W. Andrews, Christopher Salzberg:
Sexual and Asexual Paradigms in Evolution: The Implications for Genetic Algorithms. 379-380 - Seung-Hee Bae, Byung Ro Moon:
Mutation Rates in the Context of Hybrid Genetic Algorithms. 381-382 - Neal K. Bambha, Shuvra S. Bhattacharyya, Jürgen Teich, Eckart Zitzler:
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms. 383-384 - Yen-Chih Chen, Jinn-Moon Yang, Chi-Hung Tsai, Cheng-Yan Kao:
Comparative Molecular Binding Energy Analysis of HIV-1 Protease Inhibitors Using Genetic Algorithm-Based Partial Least Squares Method. 385-386 - Mohammad Amin Dallaali, Malin Premaratne:
Controlled Content Crossover: A New Crossover Scheme and Its Application to Optical Network Component Allocation Problem. 387-389 - Venkat Devireddy, Patrick M. Reed:
Efficient and Reliable Evolutionary Multiobjective Optimization Using epsilon-Dominance Archiving and Adaptive Population Sizing. 390-391 - Ian Frommer, Bruce L. Golden, Guruprasad Pundoor:
Heuristic Methods for Solving Euclidean Non-uniform Steiner Tree Problems. 392-393 - Andrés Gómez de Silva Garza, Aram Zamora Lores:
Automating Evolutionary Art in the Style of Mondrian. 394-395 - Hisashi Handa:
Mutation Can Improve the Search Capability of Estimation of Distribution Algorithms. 396-397 - Jung Hwan Kim, Sung-Soon Choi, Byung Ro Moon:
Neural Network Normalization for Genetic Search. 398-399 - Yong-Hyuk Kim, Byung Ro Moon:
Distance Measures in Genetic Algorithms. 400-401 - Mark P. Kleeman, Richard O. Day, Gary B. Lamont:
Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment Problem. 402-403 - Yung-Keun Kwon, Byung Ro Moon:
Evolving Features in Neural Networks for System Identification. 404-405 - Virginie Lefort, Carole Knibbe, Guillaume Beslon, Joël Favrel:
A Bio-inspired Genetic Algorithm with a Self-Organizing Genome: The RBF-Gene Model. 406-407 - Juan Liu, Andrzej Buller:
Evolving Spike-Train Processors. 408-409 - Fernando G. Lobo:
A Philosophical Essay on Life and Its Connections with Genetic Algorithms. 410-411 - Fernando G. Lobo, Cláudio F. Lima, Hugo Martires:
An Architecture for Massive Parallelization of the Compact Genetic Algorithm. 412-413 - Corina Rotar:
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm. 414-415 - Jorge Tavares, Francisco Baptista Pereira, Ernesto Costa:
Evolving Golomb Rulers. 416-417 - Han Yu, Ning Jiang, Annie S. Wu:
Populating Genomes in a Dynamic Grid. 418-419 - Kenny Qili Zhu, Ziwei Liu:
Empirical Study of Population Diversity in Permutation-Based Genetic Algorithm. 420-421
Genetic Programming
- Gabriel Catalin Balan, Sean Luke:
A Demonstration of Neural Programming Applied to Non-Markovian Problems. 422-433 - Jürgen Branke, Pablo Funes, Frederik Thiele:
Evolving En-Route Caching Strategies for the Internet. 434-446 - Ian Dempsey, Michael O'Neill, Anthony Brabazon:
Grammatical Constant Creation. 447-458 - Brent E. Eskridge, Dean F. Hougen:
Memetic Crossover for Genetic Programming: Evolution Through Imitation. 459-470 - Thomas Fernandez:
Virtual Ramping of Genetic Programming Populations. 471-482 - Alex S. Fukunaga:
Evolving Local Search Heuristics for SAT Using Genetic Programming. 483-494 - Gregory Hornby:
Shortcomings with Tree-Structured Edge Encodings for Neural Networks. 495-506 - Cezary Z. Janikow:
Adapting Representation in Genetic Programming. 507-518 - Jae-Yoon Jung, James A. Reggia:
A Descriptive Encoding Language for Evolving Modular Neural Networks. 519-530 - Maarten Keijzer, Conor Ryan, Mike Cattolico:
Run Transferable Libraries - Learning Functional Bias in Problem Domains. 531-542 - Evan Kirshenbaum, Henri Jacques Suermondt:
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function. 543-556 - André Leier, Wolfgang Banzhaf:
Comparison of Selection Strategies for Evolutionary Quantum Circuit Design. 557-568 - Paul Massey, John A. Clark, Susan Stepney:
Evolving Quantum Circuits and Programs Through Genetic Programming. 569-580 - Andrew R. McIntyre, Malcolm I. Heywood:
On Multi-class Classification by Way of Niching. 581-592 - Nicholas Freitag McPhee, Alex Jarvis, Ellery Fussell Crane:
On the Strength of Size Limits in Linear Genetic Programming. 593-604 - Nguyen Xuan Hoai, Robert I. McKay:
Softening the Structural Difficulty in Genetic Programming with TAG-Based Representation and Insertion/Deletion Operators. 605-616 - Michael O'Neill, Anthony Brabazon, Miguel Nicolau, Seán McGarraghy, Peter B. Keenan:
pi-Grammatical Evolution. 617-629 - Liviu Panait, Sean Luke:
Alternative Bloat Control Methods. 630-641 - Marcin L. Pilat, Franz Oppacher:
Robotic Control Using Hierarchical Genetic Programming. 642-653 - Conor Ryan, Hammad Majeed, R. Muhammad Atif Azad:
A Competitive Building Block Hypothesis. 654-665 - Sara Silva, Ernesto Costa:
Dynamic Limits for Bloat Control: Variations on Size and Depth. 666-677 - M. David Terrio, Malcolm I. Heywood:
On Naïve Crossover Biases with Reproduction for Simple Solutions to Classification Problems. 678-689 - Leonardo Vanneschi, Manuel Clergue, Philippe Collard, Marco Tomassini, Sébastien Vérel:
Fitness Clouds and Problem Hardness in Genetic Programming. 690-701
Genetic Programming - Posters
- Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, Andy Song:
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement. 702-703 - Hans Fernlund, Avelino J. Gonzalez:
Using GP to Model Contextual Human Behavior. 704-705 - Scott J. Harmon, Edwin Rodríguez, Christopher Zhong, William H. Hsu:
A Comparison of Hybrid Incremental Reuse Strategies for Reinforcement Learning in Genetic Programming. 706-707 - Hongwei Liu, Hitoshi Iba:
Humanoid Robot Programming Based on CBR Augmented GP. 708-709 - Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation. 710-711 - Tadahiko Murata, Takashi Nakamura:
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups. 712-714 - Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai:
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees. 715-716 - Wei Quan, Terence Soule:
A Study of the Role of Single Node Mutation in Genetic Programming. 717-718 - Katya Rodríguez-Vázquez, Carlos Oliver-Morales:
Multi-branches Genetic Programming as a Tool for Function Approximation. 719-721 - Kisung Seo, Jianjun Hu, Zhun Fan, Erik D. Goodman, Ronald C. Rosenberg:
Hierarchical Breeding Control for Efficient Topology/Parameter Evolution. 722-723 - Ken Taniguchi, Takao Terano:
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming. 724-725
Learning Classifier Systems
- Jaume Bacardit, Josep Maria Garrell i Guiu:
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation. 726-738 - Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Bounding Learning Time in XCS. 739-750 - Martin V. Butz, David E. Goldberg, Pier Luca Lanzi:
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems. 751-762 - Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto:
System Level Hardware-Software Design Exploration with XCS. 763-773 - Chung-Yuan Huang, Chuen-Tsai Sun:
Parameter Adaptation within Co-adaptive Learning Classifier Systems. 774-784 - Tim Kovacs, Manfred Kerber:
High Classification Accuracy Does Not Imply Effective Genetic Search. 785-796 - Xavier Llorà, Stewart W. Wilson:
Mixed Decision Trees: Minimizing Knowledge Representation Bias in LCS. 797-809 - Olivier Sigaud, Thierry Gourdin, Pierre-Henri Wuillemin:
Improving MACS Thanks to a Comparison with 2TBNs. 810-823 - Stewart W. Wilson:
Classifier Systems for Continuous Payoff Environments. 824-835
Learning Classifier Systems - Poster
- Henry Wai Kit Chia, Chew Lim Tan:
Confidence and Support Classification Using Genetically Programmed Neural Logic Networks. 836-837
Real World Applications
- Adnan Acan, Ahmet Ünveren:
An Evolutionary Constraint Satisfaction Solution for Over the Cell Channel Routing. 838-849 - Amit Agarwal, Meng-Hiot Lim, Chan Yee Chew, Tong Kiang Poo, Meng Joo Er, Yew Kong Leong:
Solution to the Fixed Airbase Problem for Autonomous URAV Site Visitation Sequencing. 850-858 - Amit Agarwal, Meng-Hiot Lim, Maung Ye Win Kyaw, Meng Joo Er:
Inflight Rerouting for an Unmanned Aerial Vehicle. 859-868 - Walid S. I. Ali, Alexander P. Topchy:
Memetic Optimization of Video Chain Designs. 869-882 - Oliver Bandte, Sergey Malinchik:
A Broad and Narrow Approach to Interactive Evolutionary Design ? An Aircraft Design Example. 883-895 - Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin:
Feature Synthesis Using Genetic Programming for Face Expression Recognition. 896-907 - Thang Nguyen Bui, Waleed A. Youssef:
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors. 908-919 - Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri, Saptarshi Majumdar:
Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation. 920-931 - Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, Nicolae S. Mera, Mohamed Pourkashanian, Sean Whittaker:
Efficient Clustering-Based Genetic Algorithms in Chemical Kinetic Modelling. 932-944 - Lionel Elliott, Derek B. Ingham, Adrian G. Kyne, Nicolae S. Mera, Mohamed Pourkashanian, Christopher W. Wilson:
An Informed Operator Based Genetic Algorithm for Tuning the Reaction Rate Parameters of Chemical Kinetics Mechanisms. 945-956 - Faustino J. Gomez, Risto Miikkulainen:
Transfer of Neuroevolved Controllers in Unstable Domains. 957-968 - Uli Grasemann, Risto Miikkulainen:
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting. 969-980 - Karim Hamza, Kazuhiro Saitou:
Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm. 981-992 - Luis Miramontes Hercog:
Co-evolutionary Agent Self-Organization for City Traffic Congestion Modeling. 993-1004 - Dzena Hidovic, Jonathan E. Rowe:
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations. 1005-1016 - Talib S. Hussain, David J. Montana, Gordon Vidaver:
Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment. 1017-1029 - Raffi R. Kamalian, Hideyuki Takagi, Alice M. Agogino:
Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation. 1030-1041 - Ed Keedwell, Soon-Thiam Khu:
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks. 1042-1053 - Jong-Pil Kim, Yong-Hyuk Kim, Byung Ro Moon:
A Hybrid Genetic Approach for Circuit Bipartitioning. 1054-1064 - Yong-Hyuk Kim, Byung Ro Moon:
Lagrange Multiplier Method for Multi-campaign Assignment Problem. 1065-1077 - Arthur K. Kordon, Elsa M. Jordaan, Lawrence Chew, Guido Smits, Torben Bruck, Keith Haney, Annika Jenings:
Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming. 1078-1089 - Taras Kowaliw, Nawwaf Kharma, Chris Jensen, Hussein Moghnieh, Jie Yao:
CellNet Co-Ev: Evolving Better Pattern Recognizers Using Competitive Co-evolution. 1090-1101 - Yung-Keun Kwon, Byung Ro Moon:
Evolutionary Ensemble for Stock Prediction. 1102-1113 - Brian T. Lam, Victor Ciesielski:
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming. 1114-1125