Comparative Study of Harmony Search Algorithm and its Applications in China, Japan and Korea

被引：7
|
作者：
Nasir, Mohammad [1 ]
Sadollah, Ali [2 ]
Yoon, Jin Hee [3 ]
Geem, Zong Woo [4 ]
机构：
[1] Islamic Azad Univ, Dezful Branch, Mat & Energy Res Ctr, Dezful, Iran
[2] Univ Sci & Culture, Dept Mech Engn, Tehran, Iran
[3] Sejong Univ, Sch Math & Stat, Seoul 05006, South Korea
[4] Gachon Univ, Dept Energy IT, Seongnam 13120, South Korea
来源：
APPLIED SCIENCES-BASEL | 2020年 / 10卷 / 11期
基金：
新加坡国家研究基金会;
关键词：
harmony search; optimization; metaheuristics; evolutionary computation; swarm intelligence; MULTIOBJECTIVE OPTIMIZATION; HYBRID; DESIGN; MODEL; MEMORY;
D O I：
10.3390/app10113970
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Harmony Search (HS) is a music-inspired optimization algorithm for solving complex optimization problems that imitate the musical improvisational process. This paper reviews the potential of applying the HS algorithm in three countries, China, South Korea, and Japan. The applications represent several disciplines in fields of study such as computer science, mathematics, electrical/electronic, mechanical, chemical, civil, and industrial engineering. We anticipate an increasing number of HS applications from these countries in near future.
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收藏
页数：26
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