Bat Algorithm: Literature Review and Applications
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Aug 2013.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 1.
5 papers.
- 2023Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectivescited by 3
- 2021Swarm Intelligence for Self-Organized Clusteringcited by 1
- 2023Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systemscited by 1
- 2023A Three-Phase Artificial Orcas Algorithm for Continuous and Discrete Problemscited by 0
- 2024Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysiscited by 0
- 2024Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: A comprehensive analysis19 Jul 2024
- 2023Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives11 Apr 2023
- 2023Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems22 Mar 2023
- 2023A Three-Phase Artificial Orcas Algorithm for Continuous and Discrete Problems17 Feb 2023
- 2021Swarm Intelligence for Self-Organized Clustering10 Jun 2021