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A Genetic Algorithm with Sharing Scheme using Fuzzy Adaptive Clustering in Multimodal Function Optimization

Wagner F. SaccoMarcelo Dornellas MachadoRoberto Schirru

Genetic Algorithms (GAs) are systems based upon principles from biological genetics that have been used in function optimization. However, traditional GAs have shown to be inadequate in some cases, specially multimodal functions. Niching Methods allow genetic algorithms to maintain a population of diverse individuals. GAs that incorporate these methods are capable of locating multiple, optimal solutions within a single population. This paper describes a niching technique for GAs based on a fuzzy clustering method. The obtained results are presented using four different multimodal functions. The results show that the new method is quite promising, having potential to be applied in real world multiple solution problems. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

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