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A comprehensive survey of the harmony search algorithm in clustering applications
- Authors
- Abualigah L.; Diabat A.; Geem Z.W.
- Issue Date
- Jun-2020
- Publisher
- MDPI AG
- Keywords
- Clustering applications; Harmony search algorithm; Meta-heuristic optimization algorithms; Optimization problems
- Citation
- Applied Sciences (Switzerland), v.10, no.11
- Journal Title
- Applied Sciences (Switzerland)
- Volume
- 10
- Number
- 11
- ISSN
- 2076-3417
- Abstract
- 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.
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Related Researcher
- Geem, Zong Woo
- College of IT Convergence (Department of smart city)