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CORR
2010
Springer
122views Education» more  CORR 2010»
14 years 9 months ago
Open-Ended Evolutionary Robotics: an Information Theoretic Approach
This paper is concerned with designing self-driven fitness functions for Embedded Evolutionary Robotics. The proposed approach considers the entropy of the sensori-motor stream gen...
Pierre Delarboulas, Marc Schoenauer, Michèl...
ESANN
2001
14 years 10 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
GECCO
2005
Springer
15 years 3 months ago
Interactive estimation of agent-based financial markets models: modularity and learning
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn
APIN
2000
120views more  APIN 2000»
14 years 9 months ago
Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes
Genetic algorithms are adaptive methods based on natural evolution that may be used for search and optimization problems. They process a population of search space solutions with t...
Francisco Herrera, Manuel Lozano
69
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GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 3 months ago
Performance analysis of niching algorithms based on derandomized-ES variants
A survey of niching algorithms, based on 5 variants of derandomized Evolution Strategies (ES), is introduced. This set of niching algorithms, ranging from the very first derandom...
Ofer M. Shir, Thomas Bäck