Bat Algorithm: Literature Review and Applications
Xin-She Yang
TL;DR
This paper reviews the bat algorithm's development, variants, and diverse applications, highlighting its efficiency and recent research trends in bio-inspired optimization.
Contribution
It provides a comprehensive overview of BA's evolution, new variants, and application areas, summarizing recent literature and suggesting future research directions.
Findings
BA is an efficient bio-inspired optimization algorithm
Numerous variants have been developed since 2010
BA has been successfully applied in diverse fields
Abstract
Bat algorithm (BA) is a bio-inspired algorithm developed by Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last 3 years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarized briefly here. Further research topics are also discussed.
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