Search point ranking-based adaptive cuckoo search

被引：0

作者：

Miyake, Yuki ^{[1
]}

Kumagai, Wataru ^{[1
]}

Tamura, Kenichi ^{[1
]}

Yasuda, Keiichiro ^{[1
]}

机构：

[1] Tokyo Metropolitan Univ, Elect & Elect Engn, 1-1 Minami Osawa, Hachioji, Tokyo 1920397, Japan

来源：

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING | 2018年 / 13卷 / 07期

基金：

日本学术振兴会;

关键词：

metaheuristics; cuckoo search; proximate optimality principle; diversification; intensification; parameter adjustment;

D O I：

10.1002/tee.22667

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (c) 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

引用

页码：1075 / 1076

页数：2