A review of the bat algorithm and its varieties for industrial applications

Thi-Kien Dao () and Trong-The Nguyen ()
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Thi-Kien Dao: Fuzhou Institute of Technology
Trong-The Nguyen: Fuzhou Institute of Technology

Journal of Intelligent Manufacturing, 2025, vol. 36, issue 8, No 6, 5327-5349

Abstract: Abstract The Bat Algorithm (BA) is a prominent metaheuristic algorithm inspired by the echolocation behavior of bats, renowned for its efficiency in solving complex optimization problems. This review paper critically examines the BA and its various adaptations specifically for industrial applications, such as manufacturing process optimization, supply chain management, and production scheduling. It delineates the scope of industrial applications by categorizing them against non-industrial applications, ensuring a clear focus on sectors where BA has shown significant utility. The paper details the fundamental principles of the BA, explores key enhancements tailored for industrial environments, and evaluates its efficacy across different industrial domains. Advantages, limitations, and specific case studies are discussed to provide a balanced view of the BA’s application in the industry. The review concludes by identifying current challenges and suggesting future research avenues to further bolster the BA's role in industrial optimization challenges.

Keywords: Bat algorithm; Metaheuristic optimization; Combinatorial optimization; Real-world applications; Hybridization; Constraints; Industrial applications; Research directions (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10845-024-02506-z

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