Exploration vs. exploitation is a well known issue in Evolutionary Algorithms. Accordingly, an unbalanced search can lead to premature convergence. GASOM, a novel Genetic Algorithm, addresses this problem by intelligent exploration techniques. The approach uses Self-Organizing Maps to mine data from the evolution process. The information obtained is successfully utilized to enhance the search strategy and confront genetic drift..
Intelligent Exploration for Genetic Algorithms: Using Self-Organizing Maps in Evolutionary Computation pdf
Intelligent Exploration for Genetic Algorithms: Using Self-Organizing Maps in Evolutionary Computation book
Intelligent Exploration for Genetic Algorithms: Using Self-Organizing Maps in Evolutionary Computation pdf download
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