Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance. (13th December 2016)

• Record Type: Journal Article
• Authors: Lin, Yaohua; Zhang, Cuiping; Liang, Zhong
• Other Names: Alfonzetti Salvatore Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-12-13
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/4839763
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : This paper proposes a hybrid factor strategy for cuckoo search algorithm by combining constant factor and varied factor. The constant factor is used to the dimensions of each solution which are closer to the corresponding dimensions of the best solution, while the varied factor using a random or a chaotic sequence is utilized to farer dimensions. For each solution, the dimension whose distance to the corresponding one of the best solution is shorter than mean distance of all dimensional distances will be regarded as the closer one, otherwise as the farer one. A suit of 20 benchmark functions are employed to verify the performance of the proposed strategy, and the results show the improvement in effectiveness and efficiency of the hybridization.