GECCO 2000:
Las Vegas,
Nevada,
USA
L. Darrell Whitley, David E. Goldberg, Erick Cantú-Paz, Lee Spector, Ian C. Parmee, Hans-Georg Beyer (Eds.):
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000.
Morgan Kaufmann 2000, ISBN 1-55860-708-0 
@proceedings{DBLP:conf/gecco/2000,
editor = {L. Darrell Whitley and
David E. Goldberg and
Erick Cant{\'u}-Paz and
Lee Spector and
Ian C. Parmee and
Hans-Georg Beyer},
title = {Proceedings of the Genetic and Evolutionary Computation Conference
(GECCO '00), Las Vegas, Nevada, USA, July 8-12, 2000},
booktitle = {GECCO},
publisher = {Morgan Kaufmann},
year = {2000},
isbn = {1-55860-708-0},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Genetic Algorithms and Classifier Systems
- Mark Wineberg, Franz Oppacher:
Enhancing the GA's Ability to Cope with Dynamic Environments.
3-10
- Michael Kirley, David G. Green:
An Empirical Investigation of Optimization in Dynamic Environments Using the Cellular Genetic Algorithm.
11-18
- Rasmus K. Ursem:
Multinational GAs: Multimodal Optimization Techniques in Dynamic Environments.
19-26
- Gerard Kian-Meng Goh, James A. Foster:
Evolving Molecules for Drug Design Using Genetic Algorithms via Molecular Trees.
27-33
- Martin Butz, David E. Goldberg, Wolfgang Stolzmann:
Introducing a Genetic Generalization Pressure to the Anticipatory Classifier System - Part 1: Theoretical approach.
42-49
- Alwyn Barry:
Specifying Action Persistence within XCS.
50-57
- Gerry V. Dozier:
Distributed Steady-State Neuro-Evolutionary Path Planning in Non-Stationary Environments Using Adaptive Replacement.
58-65
- Brian Carse, Johan Oreland:
A Note on Learning and Evolution in Neural Networks.
66-73
- Hidefumi Sawai, Susumu Adachi:
A Comparative Study of Gen-Duplicated GAs Based on PfGA and SSGA.
74-81
- Steve Margetts, Antonia J. Jones:
Phlegmatic Mappings for Function Optimization with Genetic Algorithms.
82-89
- Gregory Seront, Hugues Bersini:
A new GA-Local Search Hybrid for Continuous Optimization Based on Multi-Level Single Linkage Clustering.
90-95
- Justin Gan, Kevin Warwick:
A Variable Radius Niching Technique for Speciation in Genetic Algorithms.
96-103
- Terry P. Riopka, Peter Bock:
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm.
104-111
- Richard A. Watson, Jordan B. Pollack:
Recombination Without Respect: Schema Combination and Disruption in Genetic Algorithm Grossover.
112-119
- Siddhartha Bhattacharyya, Marvin D. Troutt:
Crossover in Probability Spaces.
120-127
- A. E. Eiben, B. Jansen, Zbigniew Michalewicz, Ben Paechter:
Solving CSPs using self-adaptive constraint weights: how to prevent EAs from cheating.
128-134
- Manuel Vázquez, L. Darrell Whitley:
A Hybrid Genetic Algorithm for the Quadratic Assignment Problem.
135-142
- Dan Bonachea, Eugene Ingerman, Joshua Levy, Scott McPeak:
An Improved Adaptive Multi-Start Approach to Finding Near-Optimal Solutions to the Euclidean TSP.
143-150
- Fernando G. Lobo, David E. Goldberg, Martin Pelikan:
Time Complexity of genetic algorithms on exponentially scaled problems.
151-158
- So-Jin Kang, Byung Ro Moon:
A Hybrid Genetic Algorithm for Multiway Graph Partitioning.
159-166
- Yong-Hyuk Kim, Byung Ro Moon:
A Hybrid Genetic Search for Graph Partitioning Based on Lock Gain.
167-174
- Wolfgang Günther, Rolf Drechsler:
Improving EAs for Sequencing Problems.
175-180
- Dimitri Knjazew, David E. Goldberg:
OMEGA - Ordering Messy GA: Solving Permutation Problems with the Fast Genetic Algorithm and Random Keys.
181-188
- William A. Greene:
A Non-Linear Schema Theorem for Genetic Algorithms.
189-194
- Hisao Ishibuchi, Tomoharu Nakashima:
Linguistic Rule Extraction by Genetics-Based Machine Learning.
195-202
- Isao Ono, Tetsuo Nijo, Norihiko Ono:
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents.
203-210
- Shigeyoshi Tsutsui:
Sampling Bias and Search Space Boundary Extension in Real Coded Genetic Algorithms.
211-218
- Osamu Takahashi, Hajime Kita, Shigenobu Kobayashi:
A Real-Coded Genetic Algorithm using Distance Dependent Alternation Model for Complex Function Optimization.
219-226
- Ricardo Szmit, Amnon Barak:
Evolution Strategies for a Parallel Multi-Objective Genetic Algorithm.
227-234
- Vincent A. Cicirello, Stephen F. Smith:
Modeling GA Performance for Control Parameter Optimization.
235-242
- Adelino R. Ferreira da Silva:
Genetic Algorithms for Component Analysis.
243-250
- Daisuke Tominaga, Nobuto Koga, Masahiro Okamoto:
Efficient Numerical Optimization Algorithm Based on Genetic Algorithm for Inverse Problem.
251-258
- Yasuo Takehisa, Hidenori Sakanashi, Tetsuya Higuchi:
Adaptive Wavelet Transform for Lossless Compression using Genetic Algorithm.
259-266
- Martin Pelikan, David E. Goldberg:
Hierarchical Problem Solving and the Bayesian Optimization Algorithm.
267-274
- Martin Pelikan, David E. Goldberg, Erick Cantú-Paz:
Bayesian Optimization Algorithm, Population Sizing, and Time to Convergence.
275-282
- Jens Gottlieb, Günther R. Raidl:
The Effects of Locality on the Dynamics of Decoder-Based Evolutionary Search.
283-290
- Setsuya Kurahashi, Takao Terano:
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization.
291-298
- Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen:
Cellular Genetic Local Search for Multi-Objective Optimization.
307-314
- Gabriela Ochoa, Inman Harvey, Hilary Buxton:
Optimal Mutation Rates and Selection Pressure in Genetic Algorithms.
315-322
- Anabela Simões, Ernesto Costa:
Using Genetic Algorithms with Asexual Transposition.
323-330
- Marie-Claude Portmann, Antony Vignier:
Performances's study on crossover operators keeping good schemata for some scheduling problems.
331-338
- Martin J. Oates, David Corne, Roger Loader:
A Tri-Phase Multimodal Evolutionary Search Performance Profile on the 'Hierarchical If and Only If' Problem.
339-346
- Emma Hart, Peter Ross:
Enhancing the Performance of a GA through Visualization.
347-354
- Franz Rothlauf, David E. Goldberg, Armin Heinzl:
Bad Codings and the Utility of Well-Designed Genetic Algorithms.
355-364
Genetic Algorithms and Classifier Systems:
Posters
- Cristian Munteanu, Agostinho C. Rosa:
Symmetrical Building Blocks and the Simple Inversion Operator.
365
- Hisashi Shimodaira:
A Diversity Control Oriented Genetic Algorithm (DCGA): Performance in Function Optimization.
366
- Bart Rylander, James A. Foster:
GA Hard Problems.
367
- Josiah Poon:
Initial Results with Coevolving Dominance Mapping.
368
- Tobias Schubert, Elke Mackensen, Nicole Drechsler, Rolf Drechsler, Bernd Becker:
Specialized Hardware for Implementation of Evolutionary Algorithms.
369
- Martin Pelikan, Fernando G. Lobo:
Parameter-less Genetic Algorithm: A Worst-case Time and Space Complexity Analysis.
370
- Pedro D. Cuesta, Jesús C. Abderramán, José A. Jiménez, Gabriel Winter:
Practical Modeling of Simple Genetic Algorithm, via deterministic paths, by Absorbing Markov Chains.
371
- Chien-Feng Huang:
Independent Sampling Genetic Algorithms and the Applications.
372
- Bart Rylander, Terence Soule, James A. Foster, Jim Alves-Foss:
Quantum Genetic Algorithms.
373
- Hyun-Sook Yoon, Byung Ro Moon:
Synergy of Multiple Crossover Operators in Genetic Algorithm.
374
- Huai-Kuang Tsai, Cheng-Yan Kao, Jinn-Moon Yang:
A Genetic Algorithm for Physical Mapping Problems.
375
- Mitsunori Miki, Tomoyuki Hiroyasu, Mika Kaneko:
A Parallel Genetic Algorithm with Distributed Environment Scheme.
376
- Juha Kivijärvi, Pasi Fränti, Olli Nevalainen:
Efficient clustering with a self-adaptive genetic algorithm.
377
- Rida E. Moustafa, Kenneth A. De Jong, Edward J. Wegman:
A GA-Based Method for Function Approximation Using Adaptive Interpolation.
378
- Linyu Yang, John Yen:
An Adaptive Simplex Genetic algorithm.
379
- Roberto Santana, Alberto Ochoa-Rodríguez, Marta Soto, Francisco Baptista Pereira, Penousal Machado, Ernesto Costa, Amílcar Cardoso:
Probabilistic Evolution and the Busy Beaver Problem.
380
- Bart G. W. Craenen, A. E. Eiben, Elena Marchiori, Adri G. Steenbeek:
Combining Local Search and Fitness Function Adaptation in a GA for Solving Binary Constraint Satisfaction Problems.
381
- Hiroshi Someya, Masayuki Yamamura:
Where should Children be Generated by Crossover Operator on Function Optimization?
382
- Antonio Berlanga, Pedro Isasi, Araceli Sanchis de Miguel, José M. Molina:
Uniform Coevolution for solving the density classification problem in Cellular Automata.
383
- Buthainah Al-Kazemi, Chilukuri K. Mohan:
Solving Problems with Overlapping Building Blocks.
384
- Jorng-Tzong Horng, Yu-Jan Chang, Baw-Jhiune Liu, Cheng-Yan Kao:
Materialized View Selection in a Data Warehouse Using Evolutionary Algorithms.
385
- Yuji Sakamoto, Masaki Kobayashi:
Evaluation of the Effects of Noises by Experiments Using a Mobile Robot.
386
- Mitsuo Gen, Gengui Zhou:
A Genetic Algorithm for the Mini-Max Spanning Forest Problem.
387
- Jose Torres-Jimenez, Eduardo Rodriguez-Tello, J. C. Ruiz-Suarez:
A Genetic Algorithms for Matrix Bandwith Reduction.
388
- Hiroshi Furutani:
Study of Evolution in Genetic Algorithms by Eigen's Theory Including Crossover Operator.
389
- Ester Bernadó i Mansilla, Josep Maria Garrell i Guiu:
MOLeCS: A MultiObjective Learning Classifier System.
390
- Michael Yasunaga, Taro Nakamura, Ikuo Yoshihara, Jung Hwan Kim:
Kernel Optimization in Pattern Recognition Using a Genetic Algorithm.
391
- Mozart Hasse, Aurora Trinidad Ramirez Pozo:
Using phenotypic sharing in a classifier tool.
392-
Genetic Programming and Evolable Hardware
- Omer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo, Wendell S. Richardsons, Rachel Harrison, William J. Sloat:
Characterizing a Tunably Difficult Problem in Genetic Programming.
395-402
- Martijn C. J. Bot:
Improving Induction of Linear Classification Trees with Genetic Programming.
403-410
- William F. Punch, W. M. Rand:
GP+Echo+Subsumption = Improved Problem Solving.
411-418
- Hitoshi Iba, Makoto Terao:
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming.
419-426
- Ivan De Falco, Aniello Iazzetta, Ernesto Tarantino, Antonio Della Cioppa, G. Trautteur:
A Kolmogorov Complexity-based Genetic Programming Tool for String Compression.
427-434
- Robert I. McKay:
Fitness Sharing in Genetic Programming.
435-442
- Brian J. Ross:
The Effects of Randomly Sampled Training Data on Program Evolution.
443-450
- William B. Langdon:
Quadratic Bloat in Genetic Programming.
451-458
- Evan Kirshenbaum:
Genetic Programming with Statically Scoped Local Variables.
459-468
- Riccardo Poli:
Exact Schema Theorem and Effective Fitness for GP with One-Point Crossover.
469-476
- John R. Koza, Martin A. Keane, Jessen Yu, William Mydlowec:
Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming.
477-484
- Michael O'Neill, Conor Ryan:
Grammar based function definition in Grammatical Evolution.
485-490
- Hiroaki Shimooka, Yoshiji Fujimoto:
Generating Robust Control Equations with Genetic Programming for Control of a Rolling Inverted Pendulum.
491-495
- Martin A. Keane, Jessen Yu, John R. Koza:
Automatic Synthesis of Both the Topology and Tuning of a Common Parameterized Controller for Two Families of Plants using Genetic Programming.
496-504
- Rolf Drechsler, Wolfgang Günther:
Evolutionary Synthesis of Multiplexor Circuits under Hardware Constraints.
513-518
- Ben I. Hounsell, Tughrul Arslan:
A Novel Evolvable Hardware Framework for the Evolution of High Performance Digital Circuits.
525-
Genetic Programming and Evolvable Hardware:
Poster
- Yoichiro Maeda, Satomi Kawaguchi:
Redundant Node Pruning and Adaptive Search Method for Genetic Programming.
535
- Francisco Fernández, Marco Tomassini, William F. Punch, J. M. Sánchez:
Experimental Study of Isolated Multipulation Genetic Programming.
536
- Ikuo Yoshihara, Tomoo Aoyama, Moritoshi Yasunaga:
A Fast Model-Building Method for Time Series Using Genetic Programming.
537
- Didier Keymeulen, Gerhard Klimeck, Ricardo Salem Zebulum, Adrian Stoica, Carlos Salazar-Lazaro:
EHWPack: a parallel Software/Hardware Environment for Evolvable Hardware.
538
- Vesselin K. Vassilev, Julian F. Miller:
Embedding Landscape Neutrality to Build a Bridge from the Conventional to a More Efficient Three-bit Multiplier Circuit.
539-
Real World Applications
- Maarten Keijzer, Vladan Babovic:
Genetic Programming within a Framework of Computer-Aided Discovery of Scientific Knowledge.
543-550
- Richard J. Gilbert, Jem J. Rowland, Douglas B. Kell:
Genomic computing: explanatory modelling for functional genomics.
551-557
- Feng-Sheng Wang:
Hybrid Differential Evolution for Dynamic Optimization of a Fedbatch Bioreactor Process.
558-565
- Luigi Barone, R. Lyndon While:
Adaptive Learning for Poker.
566-573
- Joshua D. Knowles, David Corne:
Heuristics for Evolutionary Off-line Routing in Telecommunication Networks.
574-581
- Sam Kwong, S. S. Chan:
A Fault-tolerant Multicast Routing Algorithm in ATM Networks.
582-589
- Sara Pozzi, Javier Segovia:
Evaluation of Genetic Programming and Neural Networks Techniques for Nuclear Material Identification.
590-596
- Stefania Baglioni, Dario Sorbello, Célia da Costa Pereira, Andrea Tettamanzi:
Evolutionary Multiperiod Asset Allocation.
597-604
- Anthony J. Bagnall:
A Multi-Adaptive Agent Model of Generator Bidding in the UK Market in Electricity.
605-612
- Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, Iain MacKenzie:
Applying Genetic Algorithms to Multi-Objective Land Use Planning.
613-620
- Lino A. Costa, Pedro Oliveira, Isabel N. Figueiredo, Luí F. Roseiro, Rogério P. Leal:
Structural Optimization of Laminated Plates with Genetic Algorithms.
621-627
- Khaled Rasheed, Haym Hirsh:
Informed operators: Speeding up genetic-algorithm-based design optimization using reduced models.
628-635
- Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa:
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm.
643-650
- Simon C. Roberts, Daniel Howard:
Genetic Programming for Image Analysis: Orientation Detection.
651-657
- Brian J. Ross, Frank Fueten, Dmytro Y. Yashkir:
Edge Dection of Petrographic Image Using Genetic Programming.
658-665
- Patrick Chiu, Andreas Girgensohn, Wolfgang Polak, Eleanor G. Rieffel, Lynn Wilcox, Forrest H. Bennett III:
A Genetic Segmentation Algorithm for Image Data Streams and Video.
666-673
- Alan J. Soper, Chris Walshaw, Mark Cross:
A Combined Evolutionary Search and Multilevel Approach to Graph Partitioning.
674-681
- Shouichi Matsui, Ken-ichi Tokoro:
A New Genetic Algorithm for Minimum Span Frequency Assignment using Permutation and Clique.
682-689
- Ioannis T. Christou, Armand Zakarian:
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems.
690-696
- Joachim Käschel, Bernd Meier, Marco Fischer, Tobias Teich:
Evolutionary Real-World Shop Floor Scheduling using Parallelization and Parameter Coevolution.
697-701
- Peter J. Bentley:
"Evolutionary, my dear Watson" - Investigating Committee-based Evolution of Fuzzy Rules for the Detection of Suspicious Insurance Claims.
701-709
- Keith E. Mathias, Larry J. Eshelman, J. David Schaffer, Lex Augusteijn, Paul F. Hoogendijk, Rik van de Wiel:
Code Compaction Using Genetic Algorithms.
710-717
- Shinn-Ying Ho, Kual-Zheng Lee:
A Simple and Fast GA-SA hybrid Image Segmentation Algorithm.
718-725
- Patrick J. Rauss, Jason M. Daida, Shahbaz A. Chaudhary:
Classification of Spectral Image Using Genetic Programming.
726-733
- Jody Lee Louse, Alexander Kain, James Hines:
Metaphor for learning: an evolutionary algorithm.
734-741
- Yuji Sato:
Interaction Evolution of Adaptive Parameter for Speaker Verification Systems.
742-
Real World Applications:
Poster
- Yuh-Jyh Hu:
Global Gene Expression Analysis with genetic Programming.
753
- William Edelson, Michael L. Gargano:
Feasible Encodings for GA Solutions of constrained Minimal Spanning Tree Problems.
754
- Filippo Neri:
Modeling TCP/IP network traffic for intrusion detection by genetic evolution.
755
- Cem M. Baydar, Kazuhiro Saitou:
A Genetic Programming Framework for Error Recovery in Robotic Assembly Systems.
756
- Hee-Su Kim, Sung-Bae Cho:
Knowledge-based Encoding in Interactive Genetic Algorithm for a Fashion Design Aid System.
757
- Luca Sammartino, Mikhail Simonov, Massimo Soroldoni, Andrea Tettamanzi:
GAMUT: A system for customer modeling based on evolutionary algorithms.
758
- Dirk Devogelaere, Patrick van Bael, Marcel Rijckaert:
Genetic Algorithm driven Clustering for Toxicity Prediction.
759
- Daniar Hussain, Steven Malliaris:
Evolutionary Techniques Applied to Hashing: An efficient data retrieval method.
760
- Stephen C. Ottner:
Optimizing Television Commercial Air-time by means of a Genetic Algorithm.
761
- Jung Hwan Kim, Byung Ro Moon:
Genetic Elevator Group Control.
762
- Eric L. Wilson, Charles L. Karr, Sherri L. Messimer:
Genetic Algorithm Optimization of a Filament Winding Process Modeled in WITNESS.
763
- Rajiv Mehrotra, Charles L. Karr, Rodney Bowersox:
Airfoil Optimization Using Genetic Algorithm.
764
- William H. Hsu, Michael Welge, Thomas Redman, David Clutter:
Genetic Wrappers for Constructive Induction in High-Performance Data Mining.
765
- Shin-Ying Ho, Meng-Hsun Huang:
An Efficient Quadratic Curve Approximation Using an Intelligent Genetic Algorithm.
766
- Karl Benson, David Booth, James Cubillo, Colin R. Reeves:
Automatic Detection of Ships in Spaceborne SAR Imagery.
767-
Evolutionary Strategies
Evolutionary Strategies:
Poster
Adaptive Behavior,
Artificial Life and Agents
- Manisha Mundhe, Sandip Sen:
Evolving agent socienties that avoid social dilemmas.
809-816
- Hisao Ishibuchi, Tatsuo Nakari, Tomoharu Nakashima:
Evolution of Strategies in Spatial IPD Games with Structure Demes.
817-824
- Hugues Bersini:
Chemical Crossover.
825-832
- Yasuhiro Suzuki, Hiroshi Tanaka:
A New Moleculer Computing Model, Artifical Cell Systems.
833-840
- Sanza T. Kazadi, D. Lee, R. Modi, J. Sy, Waynn Lue:
Levels of compartmentalization in Artificial Evolution.
841-848
- Anthony G. Pipe, Brian Carse:
Autonomous Acquisition of Fuzzy Rules for Mobile Robot Control: First Results from two Evolutionary Computation Approaches.
849-856
- Achim Liese, Daniel Polani, Thomas Uthmann:
On the development of spectral properties of visual agent receptors through evolution.
857-
Adaptive Behavior,
Artificial Life and Agents:
Posters
DNA and Molecular Computing
ANT Colony Optimization
Mathematical Foundations
Mathematical Foundations:
Poster
Evolutionary Robotics
Evolutionary Robotics:
Posters
Scheduling and Combinational Optimization
Scheduling and Combinational Optimization:
Posters
Neural Networks and Data Mining
Neural Networks and Data Mining:
Posters
Copyright © Mon Nov 2 20:37:45 2009
by Michael Ley (ley@uni-trier.de)
