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CEC
2007
IEEE

Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach

13 years 10 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship between optimal quality parameters and diversity, and simplifies control to just one variable, highly correlated with Exploration/Exploitation Balance, in such way that strategies can ned in more abstract terms. The acquired knowledge is expressed in a simple fashion that helps the user to understand internal mechanics of EA. The model is built after a careful example gathering and encoded in Fuzzy Logic Controllers.
Jorge Maturana, Frédéric Saubion
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where CEC
Authors Jorge Maturana, Frédéric Saubion
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