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GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 8 months ago
Behavior-based speciation for evolutionary robotics
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
CEC
2007
IEEE
14 years 1 months ago
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
Mike Preuss, Günter Rudolph, Feelly Tumakaka
COCOON
2005
Springer
14 years 28 days ago
Genome Rearrangements with Partially Ordered Chromosomes
Genomic maps often do not specify the order within some groups of two or more markers. The synthesis of a master map from several sources introduces additional order ambiguity due ...
Chunfang Zheng, David Sankoff
EWLR
1999
Springer
13 years 11 months ago
Toward Seamless Transfer from Simulated to Real Worlds: A Dynamically-Rearranging Neural Network Approach
In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
14 years 1 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...