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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.