6. PPSN 2000:
Paris,
France
Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, Juan J. Merelo Guervós, Hans-Paul Schwefel (Eds.):
Parallel Problem Solving from Nature - PPSN VI, 6th International Conference, Paris, France, September 18-20, 2000, Proceedings.
Lecture Notes in Computer Science 1917 Springer 2000, ISBN 3-540-41056-2
Invited Papers
- Aaron Sloman:
Interacting Trajectories in Design Space and Niche Space: A Philosopher Speculates About Evolution.
3-16
- Luc Steels:
Language as a Complex Adaptive System.
17-26
Analysis and Theory of EAs
- Enrique Alba, José M. Troya:
Cellular Evolutionary Algorithms: Evaluating the Influence of Ratio.
29-38
- Dirk V. Arnold, Hans-Georg Beyer:
Efficiency and Mutation Strength Adaptation of the (mu, muI, lambda)-ES in a Noisy Environment.
39-48
- Meriema Belaidouni, Jin-Kao Hao:
An Analysis of the Configuration Space of the Maximal Constraint Satisfaction Problem.
49-58
- Hans-Georg Beyer, Kalyanmoy Deb:
On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms.
59-68
- Thomas M. English:
Practical Implications of New Results in Conservation of Optimizer Performance.
69-78
- Olivier François:
Large Derivations, Evolutionary Computation and Comparisons of Algorithms.
79-88
- Thomas Jansen, Ingo Wegener:
On the Choice of the Mutation Probability for the (1+1) EA.
89-98
- Hillol Kargupta:
The Genetic Code-Like Transformations and Their Effect on Learning Functions.
99-108
- Yann Landrin-Schweitzer, Evelyne Lutton:
Perturbation Theory for Evolutionary Algorithms: Towards an Estimation of Convergence Speed.
109-118
- Yoshiyuki Matsumura, Kazuhiro Ohkura, Kanji Ueda:
Statistical Characteristics of Evolution Strategies.
119-128
- Gabriela Ochoa:
Consensus Sequence Plots and Error Thresholds: Tools for Visualising the Structure of Fitness Landscapes.
129-138
- Colin R. Reeves:
Experiments with Tuneable Fitness Landscapes.
139-148
- Oliver Sharpe:
Introducing a New Persistence Measure.
149-158
- Karsten Weicker:
An Analysis of Dynamic Severity and Population Size.
159-168
- L. Darrell Whitley:
Functions as Permutations: Regarding No Free Lunch, Walsh Analysis and Summary Statistics.
169-178
Genetic Programming
Scheduling
- Andreas Alexander Albrecht, Uwe Der, Kathleen Steinhöfel, Chak-Kuen Wong:
Distributed Simulated Annealing for Job Shop Scheduling.
243-252
- Jürgen Branke, Dirk C. Mattfeld:
Anticipation in Dynamic Optimization: The Scheduling Case.
253-262
- Susana C. Esquivel, Federico Zuppa, Raúl Héctor Gallard:
Multirecombinated Evolutionary Algorithms for the Flow Shop Scheduling Problem.
263-272
- Kokolo Ikeda, Shigenobu Kobayashi:
GA Based on the UV-Structure Hypothesis and Its Application to JSP.
273-282
- Mikkel T. Jensen:
Neighbourhood Based Robustness Applied to Tardiness and Total Flowtime Job Shops.
283-292
- Martin Kreutz, Detlef Hanke, Stefan Gehlen:
Solving Extended Hybrid-Flow-Shop Problems Using Active Schedule Generation and Genetic Algorithms.
293-302
- Manuel Vázquez, L. Darrell Whitley:
A Comparison of Genetic Algorithms for the Static Job Shop Scheduling Problem.
303-312
Representations and Operators
- Thomas Bäck, A. E. Eiben, Nikolai A. L. van der Vaart:
An Empirical Study on GAs "Without Parameters".
315-324
- Carlos Cotta, José M. Troya:
Using Dynastic Exploring Recombination to Promote Diversity in Genetic Search.
325-334
- Francisco Herrera, Manuel Lozano:
Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers.
335-344
- Jens Gottlieb, Christoph Eckert:
A Comparison of Two Representations for the Fixed Charge Transportation Problem.
345-354
- Nikolaus Hansen:
Invariance, Self-Adaptation and Correlated Mutations and Evolution Strategies.
355-364
- Takahide Higuchi, Shigeyoshi Tsutsui, Masayuki Yamamura:
Theoretical Analysis of Simplex Crossover for Real-Coded Genetic Algorithms.
365-374
- Thiemo Krink, Peter Rickers, René Thomsen:
Applying Self-Organised Criticality to Evolutionary Algorithms.
375-384
- Martin Pelikan, David E. Goldberg:
Genetic Algorithms, Clustering, and the Breaking of Symmetry.
385-394
- Franz Rothlauf, David E. Goldberg:
Pruefer Numbers and Genetic Algorithms: A Lesson on How the Low Locality of an Encoding Can Harm the Performance of GAs.
395-404
- Jürgen Wakunda, Andreas Zell:
Median-Selection for Parallel Steady-State Evolution Strategies.
405-414
- N. Walton, G. D. Smith:
The Origination of Diversity by Adaptive Clustering.
415-424
- Richard A. Watson, Jordan B. Pollack:
Symbiotic Combination as an Alternative to Sexual Recombination in Genetic Algorithms.
425-434
Co-evolution
- Mourad Bessaou, Alain Pétrowski, Patrick Siarry:
Island Model Cooperating with Speciation for Multimodal Optimization.
437-446
- Stefan Boettcher, Allon G. Percus, Michelangelo Grigni:
Optimizing through Co-evolutionary Avalanches.
447-456
- Paul den Dulk, Martijn Brinkers:
Evolution of Altruism in Viscous Populations: Effects of Altruism on the Evolution of Migrating Behavior.
457-466
- Sevan G. Ficici, Jordan B. Pollack:
A Game-Theoretic Approach to the Simple Coevolutionary Algorithm.
467-476
- Masao Kubo, Hiroshi Satoh, Yuichiro Inoue, Kimitaka Uno, Akira Namatame:
The Number of People with Whom a Man Interacts.
477-486
- Björn Olsson:
NK-Landscapes as Test Functions for Evaluation of Host-Parasite Algorithms.
487-496
- Jan Paredis:
Towards Balanced Coevolution.
497-506
- Elpida Tzafestas:
Spatial Games with Adaptive Tit-For-Tats.
507-516
- Cor J. Veenman, Marcel J. T. Reinders, Eric Backer:
Competitive Segmentation: A Struggle for Image Space.
517-526
Constraint Handling Techniques
Noisy and Non-stationary Environments
- Gerry V. Dozier:
Steady-State Evolutionary Path Planning, Adaptive Replacement, and Hyper-Diversity.
561-570
- Yasuhito Sano, Hajime Kita:
Optimization of Noisy Fitness Functions by Means of Genetic Algorithms Using History of Search.
571-580
Evolvable Hardware and Hardware Implementation of EAs
Combinatorial Optimisation
- Arnaud Berny:
Selection and Reinforcement Learning for Combinatorial Optimization.
601-610
- Matthijs den Besten, Thomas Stützle, Marco Dorigo:
Ant Colony Optimization for the Total Weighted Tardiness Problem.
611-620
- Jens Gottlieb, Nico Voss:
Adaptive Fitness Functions for the Satisfiability Problem.
621-630
- Dimitri Knjazew, David E. Goldberg:
Large-Scale Permutation Optimization with the Ordering Messy Genetic Algorithm.
631-640
- Ivana Ljubic, Günther R. Raidl, Jozef Kratica:
A Hybrid GA for the Edge-Biconnectivity Augmentation Problem.
641-650
- Ian Mitchell, Philip Pocknell:
A Temporal Representation for GA and TSP.
651-660
- Thomas Stützle, Andreas Grün, Sebastian Linke, Marco Rüttger:
A Comparison of Nature Inspired Heuristics on the Traveling Salesman Problem.
661-670
- Christine L. Valenzuela, Pearl Y. Wang:
A Genetic Algorithm for VLSI Floorplanning.
671-680
Applications
- Steven van Dijk, Dirk Thierens, Mark de Berg:
Scalability and Efficiency of Genetic Algorithms for Geometrical Applications.
683-692
- Bogdan Filipic, Janez Strancar:
Genetic Optimization of the EPR Spectral Parameters: Algorithm Implementation and Preliminary Results.
693-701
- Jos A. Hageman, Ron Wehrens, René de Gelder, W. L. Meerts, Lutgarde M. C. Buydens:
Fitting Fluorescence Spectra with Genetic Algorithms.
702-711
- Akira Oyama, Shigeru Obayashi, Takashi Nakamura:
Real-Coded Adaptive Range Genetic Algorithm Applied to Transonic Wing Optimization.
712-721
- Marco Tomassini, Mathieu Perrenoud:
Stream Cyphers with One- and Two-Dimensional Cellular Automata.
722-731
Machine Learning and Classifier Systems
New Algorithms and Metaphors
Multiobjective Optimisation
- David Corne, Joshua D. Knowles, Martin J. Oates:
The Pareto Envelope-Based Selection Algorithm for Multi-objective Optimisation.
839-848
- Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan:
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II.
849-858
- Kalyanmoy Deb, Amrit Pratap, Subrajyoti Moitra:
Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA.
859-868
- Joshua D. Knowles, David Corne, Martin J. Oates:
On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem.
869-878
- Mourad Sefrioui, Jacques Périaux:
A Hierarchical Genetic Algorithm Using Multiple Models for Optimization.
879-888
EA Software
- Pierre Collet, Evelyne Lutton, Marc Schoenauer, Jean Louchet:
Take It EASEA.
891-901
- Gustavo Romero, Maribel García Arenas, Francisco Javier García Castellano, Pedro A. Castillo Valdivieso, J. Carpio, Juan J. Merelo Guervós, Alberto Prieto, Víctor Manuel Rivas Santos:
Evolutionary Computation Visualization: Application to G-PROP.
902-912
Copyright © Sat Nov 21 00:41:40 2009
by Michael Ley (ley@uni-trier.de)