A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems

A modified adaptive bats sonar algorithm (MABSA) is presented that utilises the concept of echolocation of a colony of bats to find prey. The proposed algorithm is applied to solve the constrained optimisation problems coupled with penalty function method as constraint handling technique. The perfor...

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Main Authors: N. M., Yahya, Tokhi, M. O.
Format: Article
Language:English
Published: Inderscience Enterprises Ltd. 2017
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/18568/1/fkp-2017-nafrizuan-modified%20bats%20echolocation-based%20algorithm1.pdf
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author N. M., Yahya
Tokhi, M. O.
author_facet N. M., Yahya
Tokhi, M. O.
author_sort N. M., Yahya
collection UMP
description A modified adaptive bats sonar algorithm (MABSA) is presented that utilises the concept of echolocation of a colony of bats to find prey. The proposed algorithm is applied to solve the constrained optimisation problems coupled with penalty function method as constraint handling technique. The performance of the algorithm is verified through rigorous tests with four constrained optimisation benchmark test functions. The acquired results show that the proposed algorithm performs better to find optimum solution in terms of accuracy and convergence speed. The statistical results of MABSA to solve all the test functions also has been compared with the results from several existing algorithms taken from literature on similar test functions. The comparative study has shown that MABSA outperforms other establish algorithms, and thus, it can be an efficient alternative method in the solving constrained optimisation problems.
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spelling UMPir185682018-03-07T00:30:49Z http://umpir.ump.edu.my/id/eprint/18568/ A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems N. M., Yahya Tokhi, M. O. TS Manufactures A modified adaptive bats sonar algorithm (MABSA) is presented that utilises the concept of echolocation of a colony of bats to find prey. The proposed algorithm is applied to solve the constrained optimisation problems coupled with penalty function method as constraint handling technique. The performance of the algorithm is verified through rigorous tests with four constrained optimisation benchmark test functions. The acquired results show that the proposed algorithm performs better to find optimum solution in terms of accuracy and convergence speed. The statistical results of MABSA to solve all the test functions also has been compared with the results from several existing algorithms taken from literature on similar test functions. The comparative study has shown that MABSA outperforms other establish algorithms, and thus, it can be an efficient alternative method in the solving constrained optimisation problems. Inderscience Enterprises Ltd. 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18568/1/fkp-2017-nafrizuan-modified%20bats%20echolocation-based%20algorithm1.pdf N. M., Yahya and Tokhi, M. O. (2017) A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems. International Journal of Bio-Inspired Computation, 10 (1). pp. 12-23. ISSN 1758-0366 . (Published) https://doi.org/10.1504/IJBIC.2017.085335 DOI: 10.1504/IJBIC.2017.085335
spellingShingle TS Manufactures
N. M., Yahya
Tokhi, M. O.
A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
title A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
title_full A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
title_fullStr A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
title_full_unstemmed A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
title_short A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
title_sort modified bats echolocation based algorithm for solving constrained optimisation problems
topic TS Manufactures
url http://umpir.ump.edu.my/id/eprint/18568/1/fkp-2017-nafrizuan-modified%20bats%20echolocation-based%20algorithm1.pdf
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