Computer Science ›› 2014, Vol. 41 ›› Issue (7): 279-282.doi: 10.11896/j.issn.1002-137X.2014.07.058

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New Self-adaptive Cuckoo Search Algorithm

QIAN Wei-yi,HOU Hui-chao and JIANG Shou-yong   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In order to improve the local and global search ability of cuckoo search algorithm(CS) and its convergence rate,a new self-adaptive cuckoo search algorithm was proposed.In this algorithm,a self-adaptive parameter control strategy is used to adjust the step size of CS,thereby enhancing the search ability of CS.In addition,a mutation technique which is similar to differential evolution algorithm is utilized to guarantee the CS diversity.Experimental results show that the proposed algorithm is much more effective.

Key words: Cuckoo search algorithm,Levy flight,Self-adaptation,Mutation

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