AMHS: Archive-Based Multi-objective Harmony Search Algorithm

被引：2

作者：

Khodadadi, Nima ^{[1
]}

Gharehchopogh, Farhad Soleimanian ^{[2
]}

Abdollahzadeh, Benyamin ^{[2
]}

Mirjalili, Seyedali ^{[3
,4
]}

机构：

[1] Florida Int Univ, Dept Civil & Environm Engn, Miami, FL 33199 USA

[2] Islamic Azad Univ, Dept Comp Engn, Urmia Branch, Orumiyeh, Iran

[3] Torrens Univ Australia, Ctr Artificial Intelligence Res & Optimisat, Brisbane, Qld, Australia

[4] Yonsei Univ, Yonsei Frontier Lab, Seoul, South Korea

来源：

PROCEEDINGS OF 7TH INTERNATIONAL CONFERENCE ON HARMONY SEARCH, SOFT COMPUTING AND APPLICATIONS (ICHSA 2022) | 2022年 / 140卷

关键词：

Multi-objective harmony search; Harmony search; Real-engineering problems; OPTIMIZATION ALGORITHM;

D O I：

10.1007/978-981-19-2948-9_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Meta-heuristics have been widely used in both science and industry as reliable alternatives to conventional optimization algorithms to solve challenging, real-world problems. Despite being general-purpose and having a black-box nature, they require changes to solve multi-objective optimization problems. This paper proposes a multi-objective version of harmony search based on the archive. Archive, grid, and leader selection mechanisms are applied in multi-objectives of HS. Five real-engineering problems are evaluated with the results of three indexes. Based on the results, the AMHS is capable of providing acceptable results than other alternatives.

引用

页码：259 / 269

页数：11

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