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Bat algorithm: a novel approach for global engineering optimization
Open accessAbstract
Purpose: Nature‐inspired algorithms are among the most powerful algorithms for optimization. The purpose of this paper is to introduce a new nature‐inspired metaheuristic optimization algorithm, called bat algorithm (BA), for solving engineering optimization tasks. Design/methodology/approach: The proposed BA is based on the echolocation behavior of bats. After a detailed formulation and explanation of its implementation, BA is verified using eight nonlinear engineering optimization problems reported in the specialized literature. Findings: BA has been carefully implemented and carried out optimization for eight well‐known optimization tasks; then a comparison has been made between the proposed algorithm and other existing algorithms. Originality/value: The optimal solutions obtained by the proposed algorithm are better than the best solutions obtained by the existing methods. The unique search features used in BA are analyzed, and their implications for future research are also discussed in detail.
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Kar, A. K. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.04.018 · Cited by 578
Gandomi, A. H., & Yang, X.-S. (2014) · Journal of Computational Science · doi:10.1016/j.jocs.2013.10.002 · Cited by 508
Self-citationModified 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
Metaheuristic Algorithms in Modeling and Optimization
Gandomi, A. H., Yang, X.-S., Talatahari, S., & Alavi, A. H. (2013) · Metaheuristic Applications in Structures and Infrastructures · doi:10.1016/b978-0-12-398364-0.00001-2 · Cited by 268
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Metadata
- Authors
- Yang, X., & Hossein Gandomi, A.
- Venue
- Engineering Computations
- Publisher
- Emerald
- Published
- 2012-07-13
- Volume
- 29
- Issue
- 5
- Pages
- 464-483
- ISSN
- 0264-4401 (ISSN-L)
- OpenAlex
- W2024518622
- Cited by
- 1,751
- References
- 0
- FWCI
- 62.06
- Type
- journal article
- Language
- en
- Open access
- green
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