Chaotic Algorithm Based on Elite Reverse Learning
GUO Xu
HE Xingshi
GAO Ang
Abstract：In view of the shortcomings of the basic bat algorithm,such as slow convergence rate,easy to fall into local extre?mum and poor stability,a chaotic bat algorithm based on elite reverse learning is proposed. This algorithm introduces the elite re?verse learning strategy,which compares the elite individuals with their opposite solutions and reserves optimal solution so that it takes full advantage of the excellent individual information and accelerates the convergence rate of the algorithm. At the same time, the bats'position is disturbed by chaotic mapping and the population diversity is increased,which effectively improves the searching ability and searching precision of the algorithm. The numerical results show that the new algorithm has faster convergence speed and higher accuracy.
Keywords：bat algorithmelite reverse learningchaosalgorithm performance
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 773-777,897 )