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GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 10 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 10 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
129
Voted
HAIS
2009
Springer
15 years 7 months ago
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection
Abstract. Cooperative Coevolution is a technique in the area of Evolutionary Computation. It has been applied to many combinatorial problems with great success. This contribution p...
Joaquín Derrac, Salvador García, Fra...
CEC
2005
IEEE
15 years 6 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
15 years 5 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck