Improved Cuckoo Search Algorithm with Escape Mechanism

被引：0

作者：

Yu, Yanjiang ^{[1
,2
]}

Lin, Jing ^{[1
,3
]}

Liu, Tianle ^{[1
]}

Lin, Dong ^{[1
]}

Zhai, Yujiang ^{[1
]}

机构：

[1] Wuyi Univ, Sch Railway Tracks & Transportat, Hangmen 529020, Guangdong, Peoples R China

[2] South China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510640, Guangdong, Peoples R China

[3] Shenzhen Univ, Coll Mechatron & Control Engn, Shenzhen 518061, Peoples R China

来源：

APPLICATIONS OF DECISION SCIENCE IN MANAGEMENT, ICDSM 2022 | 2023年 / 260卷

关键词：

Cuckoo search algorithm; Backward learning; Escape mechanism; Convergence performance;

D O I：

10.1007/978-981-19-2768-3_28

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

Aiming at the problem of weak exploitation ability of Cuckoo Search (CS) algorithm, this paper proposes a Cuckoo Search algorithm with escape mechanism (ECS). First, we introduce a search strategy that enables candidate solution move closer to the optimal. Then, we design an escape mechanism based on backward learning. Numerical tests were conducted with the results showing a great improvement in the convergence speed and accuracy of the proposed ECS compared with the original.

引用

页码：301 / 309

页数：9

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