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A New Bats Echolocation-based Algorithm for Single Objective Optimisation

N. M., Yahya and Tokhi, M. Osman and Kasdirin, Hyreil Anuar (2016) A New Bats Echolocation-based Algorithm for Single Objective Optimisation. Evolutionary Intelligence, 9 (1). pp. 1-20. ISSN 1864-5909 (Print); 1864-5917 (Online)

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Abstract

Bats sonar algorithm (BSA) as a swarm intelligence approach utilises the concept of echolocation of bats to find prey. However, the algorithm is unable to achieve good precision and fast convergence rate to the optimum solution. With this in mind, an adaptive bats sonar algorithm is introduced with new paradigms of real bats echolocation behaviour. The performance of the algorithm is validated through rigorous tests with several single objective optimisation benchmark test functions. The obtained results show that the proposed scheme outperforms the BSA in terms of accuracy and convergence speed and can be efficiently employed to solve engineering problems.

Item Type: Article
Additional Information: Indexed in Scopus
Uncontrolled Keywords: Optimisation; Bats echolocation; Reciprocal altruism; Bats sonar algorithm; Adaptive bats sonar algorithm
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Dr. Nafrizuan Mat Yahya
Date Deposited: 27 Nov 2017 02:09
Last Modified: 18 May 2018 06:22
URI: http://umpir.ump.edu.my/id/eprint/19163
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