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Modified adaptive bats sonar algorithm with doppler effect mechanism for solving single objective unconstrained optimization problems

N. A., Azlan and Nafrizuan, Mat Yahya (2019) Modified adaptive bats sonar algorithm with doppler effect mechanism for solving single objective unconstrained optimization problems. In: 15th IEEE Colloquium On Signal Processing And Its Application (CSPA2019), 8-9 March 2019 , Penang, Malaysia. pp. 27-30.. ISBN 978-1-5386-7563-2

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Abstract

A modified adaptive bats sonar algorithm with Doppler Effect (MABSA-DE) is a new algorithm with an element of Doppler Effect theory that helped the transmitted bats’ beam towards a superior position. The performances of the proposed algorithm is validated on a several well-known single objective unconstrained benchmark test functions. The obtained results show that the algorithm can perform well to find optimum solution. The statistical results of MABSA-DE to solve all the test functions also has been compared with the results from the original MABSA on similar test functions. The comparative study has shown that MABSA-DE outperforms the original algorithm, and thus, it can be an efficient alternative method in solving single objective unconstrained optimization problems.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Bat Algorithm; Doppler Effect; Metaheuristic; Optimization Algorithm; Single Objective Optimization
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Manufacturing Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 27 Mar 2019 03:10
Last Modified: 15 Oct 2019 07:44
URI: http://umpir.ump.edu.my/id/eprint/24601
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