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A comprehensive survey of the harmony search algorithm in clustering applications
- Abualigah L.;
- Diabat A.;
- Geem Z.W.
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140초록
The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which has been successfully applied to a broad range of clustering applications, including data clustering, text clustering, fuzzy clustering, image processing, and wireless sensor networks. We provide a comprehensive survey of the literature on HSA and its variants, analyze its strengths and weaknesses, and suggest future research directions. © 2020 by the authors.
키워드
Clustering applications; Harmony search algorithm; Meta-heuristic optimization algorithms; Optimization problems
- 제목
- A comprehensive survey of the harmony search algorithm in clustering applications
- 저자
- Abualigah L.; Diabat A.; Geem Z.W.
- 발행일
- 2020-06
- 유형
- Article
- 저널명
- Applied Sciences (Switzerland)
- 권
- 10
- 호
- 11
- 언어
- ENG
- 출판사
- MDPI AG
- 발행국가
- 스위스
- ISSN
- P 2076-3417