Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems

This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm mimics the mating behaviour of barnacles in nature for solving optimization problems. The BMO is first benchmarked on a set of...

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Main Authors:	M. H., Sulaiman, Zuriani, Mustaffa, Mohd Mawardi, Saari, Hamdan, Daniyal
Format:	Article
Language:	English
Published:	Elsevier 2020
Subjects:	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/27252/ http://umpir.ump.edu.my/id/eprint/27252/ http://umpir.ump.edu.my/id/eprint/27252/ http://umpir.ump.edu.my/id/eprint/27252/1/Barnacles%20mating%20optimizer%20-%20a%20new%20bio-inspired%20algorithm%20.pdf

id	ump-27252
recordtype	eprints
spelling	ump-272522020-02-27T04:56:55Z http://umpir.ump.edu.my/id/eprint/27252/ Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems M. H., Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm mimics the mating behaviour of barnacles in nature for solving optimization problems. The BMO is first benchmarked on a set of 23 mathematical functions to test the characteristics of BMO in finding the optimal solutions. It is then applied to optimal reactive power dispatch (ORPD) problem to verify the reliability and efficiency of BMO. Extensive comparative studies with other algorithms are conducted and from the simulation results, it is observed that BMO generally provides better results and exhibits huge potential of BMO in solving real optimization problems. Elsevier 2020-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27252/1/Barnacles%20mating%20optimizer%20-%20a%20new%20bio-inspired%20algorithm%20.pdf M. H., Sulaiman and Zuriani, Mustaffa and Mohd Mawardi, Saari and Hamdan, Daniyal (2020) Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems. Engineering Applications of Artificial Intelligence, 87 (103330). ISSN 0952-1976 https://doi.org/10.1016/j.engappai.2019.103330 https://doi.org/10.1016/j.engappai.2019.103330
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering M. H., Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
description	This paper presents a novel bio-inspired optimization algorithm namely the Barnacles Mating Optimizer (BMO) algorithm to solve optimization problems. The proposed algorithm mimics the mating behaviour of barnacles in nature for solving optimization problems. The BMO is first benchmarked on a set of 23 mathematical functions to test the characteristics of BMO in finding the optimal solutions. It is then applied to optimal reactive power dispatch (ORPD) problem to verify the reliability and efficiency of BMO. Extensive comparative studies with other algorithms are conducted and from the simulation results, it is observed that BMO generally provides better results and exhibits huge potential of BMO in solving real optimization problems.
format	Article
author	M. H., Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal
author_facet	M. H., Sulaiman Zuriani, Mustaffa Mohd Mawardi, Saari Hamdan, Daniyal
author_sort	M. H., Sulaiman
title	Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
title_short	Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
title_full	Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
title_fullStr	Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
title_full_unstemmed	Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
title_sort	barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems
publisher	Elsevier
publishDate	2020
url	http://umpir.ump.edu.my/id/eprint/27252/ http://umpir.ump.edu.my/id/eprint/27252/ http://umpir.ump.edu.my/id/eprint/27252/ http://umpir.ump.edu.my/id/eprint/27252/1/Barnacles%20mating%20optimizer%20-%20a%20new%20bio-inspired%20algorithm%20.pdf
first_indexed	2023-09-18T22:42:46Z
last_indexed	2023-09-18T22:42:46Z
_version_	1777417025159692288

Barnacles mating optimizer : a new bio-inspired algorithm for solving engineering optimization problems

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