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Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
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No free lunch theorems for optimization
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Cited by
Mirjalili, S. (2016) · Neural Computing and Applications · doi:10.1007/s00521-015-1920-1 · Cited by 2,765
Self-citationCrayfish optimization algorithm
Jia, H., Rao, H., Wen, C., & Mirjalili, S. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10567-4 · Cited by 644
Self-citationNorthern Goshawk Optimization: A New Swarm-Based Algorithm for Solving Optimization Problems
Dehghani, M., Hubalovsky, S., & Trojovsky, P. (2021) · IEEE Access · doi:10.1109/access.2021.3133286 · Cited by 574
An improved Opposition-Based Sine Cosine Algorithm for global optimization
Abd Elaziz, M., Oliva, D., & Xiong, S. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.07.043 · Cited by 429
Modified Grey Wolf Optimizer for Global Engineering Optimization
Mittal, N., Singh, U., & Sohi, B. S. (2016) · Applied Computational Intelligence and Soft Computing · doi:10.1155/2016/7950348 · Cited by 389
Metadata
- Authors
- Mirjalili, S., Mirjalili, S. M., & Hatamlou, A.
- Venue
- Neural Computing and Applications
- Published
- 2015-03-17
- Volume
- 27
- Issue
- 2
- Pages
- 495-513
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2031183907
- Cited by
- 2,925
- References
- 1
- FWCI
- 68.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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