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

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 unc...

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Bibliographic Details
Main Authors: N. A., Azlan, Nafrizuan, Mat Yahya
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Pahang 2019
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/24601/1/8.%20Modified%20adaptive%20bats%20sonar%20algorithm%20with%20doppler.pdf
http://umpir.ump.edu.my/id/eprint/24601/
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Institution: Universiti Malaysia Pahang
Language: English
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Summary: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.