A new bats echolocation-based algorithm for single objective optimisation

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...

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Main Authors:	Yahya, Nafrizuan Mat, Tokhi, M. Osman, Kasdirin, Hyreil Anuar
Format:	Online
Language:	English
Published:	Springer Berlin Heidelberg 2016
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4875172/

id	pubmed-4875172
recordtype	oai_dc
spelling	pubmed-48751722016-06-21 A new bats echolocation-based algorithm for single objective optimisation Yahya, Nafrizuan Mat Tokhi, M. Osman Kasdirin, Hyreil Anuar Research Paper 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. Springer Berlin Heidelberg 2016-02-18 2016 /pmc/articles/PMC4875172/ /pubmed/27340501 http://dx.doi.org/10.1007/s12065-016-0134-5 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Yahya, Nafrizuan Mat Tokhi, M. Osman Kasdirin, Hyreil Anuar
spellingShingle	Yahya, Nafrizuan Mat Tokhi, M. Osman Kasdirin, Hyreil Anuar A new bats echolocation-based algorithm for single objective optimisation
author_facet	Yahya, Nafrizuan Mat Tokhi, M. Osman Kasdirin, Hyreil Anuar
author_sort	Yahya, Nafrizuan Mat
title	A new bats echolocation-based algorithm for single objective optimisation
title_short	A new bats echolocation-based algorithm for single objective optimisation
title_full	A new bats echolocation-based algorithm for single objective optimisation
title_fullStr	A new bats echolocation-based algorithm for single objective optimisation
title_full_unstemmed	A new bats echolocation-based algorithm for single objective optimisation
title_sort	new bats echolocation-based algorithm for single objective optimisation
description	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.
publisher	Springer Berlin Heidelberg
publishDate	2016
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4875172/
_version_	1613582345536798720

A new bats echolocation-based algorithm for single objective optimisation

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