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

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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Bibliographic Details
Main Authors: N. M., Yahya, Tokhi, M. O.
Format: Article
Language:English
Published: Inderscience Enterprises Ltd. 2017
Subjects:
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/18568/
http://umpir.ump.edu.my/id/eprint/18568/
http://umpir.ump.edu.my/id/eprint/18568/
http://umpir.ump.edu.my/id/eprint/18568/1/fkp-2017-nafrizuan-modified%20bats%20echolocation-based%20algorithm1.pdf
id oai:umpir.ump.edu.my:18568
recordtype eprints
spelling oai:umpir.ump.edu.my:185682018-03-07T00:30:49Z 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 https://doi.org/10.1504/IJBIC.2017.085335 DOI: 10.1504/IJBIC.2017.085335
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TS Manufactures
spellingShingle TS Manufactures
N. M., Yahya
Tokhi, M. O.
A Modified Bats Echolocation-Based Algorithm for Solving Constrained Optimisation Problems
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.
format Article
author N. M., Yahya
Tokhi, M. O.
author_facet N. M., Yahya
Tokhi, M. O.
author_sort N. M., Yahya
title 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_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_sort modified bats echolocation-based algorithm for solving constrained optimisation problems
publisher Inderscience Enterprises Ltd.
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18568/
http://umpir.ump.edu.my/id/eprint/18568/
http://umpir.ump.edu.my/id/eprint/18568/
http://umpir.ump.edu.my/id/eprint/18568/1/fkp-2017-nafrizuan-modified%20bats%20echolocation-based%20algorithm1.pdf
first_indexed 2018-09-07T02:27:34Z
last_indexed 2018-09-07T02:27:34Z
_version_ 1610913944447221760

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