The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
A comprehensive survey: Whale Optimization Algorithm and its applications
Abstract
Abstract Whale Optimization Algorithm (WOA) is an optimization algorithm developed by Mirjalili and Lewis in 2016. An overview of WOA is described in this paper, rooted from the bubble-net hunting strategy, besides an overview of WOA applications that are used to solve optimization problems in various categories. The best solution has been determined to make something as functional and effective as possible through the optimization process by minimizing or maximizing the parameters involved in the problems. Research and engineering attention have been paid to Meta-heuristics for purposes of decision-making given the growing complexity of models and the needs for quick decision making in the engineering. An updated review of research of WOA is provided in this paper for hybridization, improved, and variants. The categories included in the reviews are Engineering, Clustering, Classification, Robot Path, Image Processing, Networks, Task Scheduling, and other engineering applications. According to the reviewed literature, WOA is mostly used in the engineering area to solve optimization problems. Providing an overview and summarizing the review of WOA applications are the aims of this paper.
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Citations
Cites
1 retracted
Abdel-Basset, M., Manogaran, G., El-Shahat, D., & Mirjalili, S. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.03.020 · Cited by 262
RetractedA fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
The Whale Optimization Algorithm
Mirjalili, S., & Lewis, A. (2016) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2016.01.008 · Cited by 14,581
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Zhang, Q., & Li, H. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.892759 · Cited by 10,069
Cuckoo Search via Lévy flights
Yang, X.-S., & Deb, S. (2009) · 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC) · doi:10.1109/nabic.2009.5393690 · Cited by 6,185
SCA: A Sine Cosine Algorithm for solving optimization problems
Mirjalili, S. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.022 · Cited by 5,696
AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Karaboğa, D. (2005) · Cited by 5,466
Cited by
Advances in Sparrow Search Algorithm: A Comprehensive Survey
Gharehchopogh, F. S., Namazi, M., Ebrahimi, L., & Abdollahzadeh, B. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09804-w · Cited by 399
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Metadata
- Authors
- Gharehchopogh, F. S., & Gholizadeh, H.
- Venue
- Swarm and Evolutionary Computation
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 48
- Pages
- 1-24
- ISSN
- 2210-6502 (ISSN-L)
- OpenAlex
- W2922096023
- Cited by
- 758
- References
- 121
- FWCI
- 31.66
- Type
- journal article
- Language
- en
- Open access
- closed
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