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GECCO
2005
Springer

Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations

13 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 existing evolutionary algorithms without writing special operators, changing the program loop etc. The main mathematical principle behind this method is the dynamic sinusoidal envelope of the search space. This method is presented in order to solve some theoretical and practical issues in evolutionary algorithms like numerical bounded variables, dynamic focalized search, dynamic control of diversity, feasible region analysis etc. Categories and Subject Descriptors: I.2.8 [Computing Methodologies][Artificial Intelligence]: Problem Solving, Control Methods, and Search General Terms: Algorithms, Theory
José Antonio Martin H.
Added 29 Jun 2010
Updated 29 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors José Antonio Martin H.
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