Search point ranking‐based adaptive cuckoo search. Issue 7 (30th March 2018)

• Record Type: Journal Article
• Authors: Miyake, Yuki; Kumagai, Wataru; Tamura, Kenichi; Yasuda, Keiichiro
• Is Part Of: IEEJ transactions on electrical and electronic engineering. Volume 13:Issue 7(2018)
• Page Start: 1075
• Page End: 1076
• Publication Date: 2018-03-30
• Subjects: metaheuristics -- cuckoo search -- proximate optimality principle -- diversification -- intensification -- parameter adjustment; Electrical engineering -- Periodicals; Electronics -- Periodicals; 621.3
• DOI: 10.1002/tee.22667
• Languages: English
• ISSNs: 1931-4973

Abstract

Abstract : In this letter, an adaptive Cuckoo Search with a parameter adjustment mechanism of each search point by using parameters of the search points variously and ranking of search points is proposed. The neighborhood area of the search point of the proposed method differs depending on its ranking. The search performance of the proposed method is verified through numerical simulations for typical benchmark problems. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.