Computer Science ›› 2016, Vol. 43 ›› Issue (10): 282-286.doi: 10.11896/j.issn.1002-137X.2016.10.053

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Biogeography-based Optimization with Adaptive Immigration and Dynamic Selection Emigration Strategy

TANG Ji-yong, ZHONG Yuan-chang and ZENG Guang-pu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Dan Simon proposed a biogeography-based optimization to solve engineering optimization problems.The algorithm has captured the attention of many researchers in the field of intelligent optimization algorithm with its unique search mechanism and good performance.In order to improve the global and local search ability of biogeography-based optimization algorithm,an improved biogeography optimization strategy based on dynamic selection emigration and adaptive immigration was proposed.The improved algorithm mixes the stages of evolution,dynamic selection emigration,random emigration and self-variation to increase the global search ability of the algorithm.The results of simulation experiments show that the algorithm is superior to the contrast algorithm in global searching,convergence speed and convergence accuracy.

Key words: Biogeography-based optimization,Dynamic selection,Adaptive immigrate,Adaptive mutation

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