Alternated Chaotic Biogeography Based Algorithm for Optimization Problems
Abstract
Chaotic maps have improved the performance of BBO algorithm as chaotic migration and chaotic mutation help in maintaining diversity of the population on a higher level to avoid a habitat's entrapment in the local optimal solutions. Many chaotic maps have been used in BBO algorithm. Recently, alternation method in discrete dynamics has emerged as a powerful tool for control and anti-control of chaos. In this article, it is proposed to use alternated chaotic logistic map in BBO algorithm to improve the performance further.
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