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A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization
Mohammad Shehab1, Muhannad A Abu-Hashem2, Mohd Khaled Yousef Shambour3
1Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953 Jordan.
Archives of Computational Methods in Engineering : State of the Art Reviews
|September 26, 2022
Summary
The Bat Algorithm (BA) is an efficient metaheuristic optimization tool. This review comprehensively covers BA
Area of Science:
- Optimization algorithms
- Metaheuristic computing
Background:
- The Bat Algorithm (BA) is a recognized metaheuristic algorithm.
- BA demonstrates effectiveness across diverse optimization challenges.
Purpose of the Study:
- To provide a comprehensive review of the Bat Algorithm (BA).
- To evaluate BA's characteristics against other optimization algorithms.
- To explore BA variants and their performance in various applications.
Main Methods:
- Literature review of Bat Algorithm research.
- Comparative analysis of BA with other optimization techniques.
- Evaluation of BA performance across different application domains.
Main Results:
- BA is effective for optimization problems in energy systems, engineering, and medical fields.
- Numerous BA variants have been developed, enhancing its applicability.
- BA shows competitive performance compared to other algorithms.
Conclusions:
- BA is a potent optimization tool with broad applicability.
- Identified weaknesses in current BA research.
- Suggested future research directions for BA development and application.
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