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:
Online Access:http://umpir.ump.edu.my/id/eprint/27252/1/Barnacles%20mating%20optimizer%20-%20a%20new%20bio-inspired%20algorithm%20.pdf
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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
collection UMP
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.
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spelling UMPir272522020-02-27T04:56:55Z 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. (Published) https://doi.org/10.1016/j.engappai.2019.103330 https://doi.org/10.1016/j.engappai.2019.103330
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
title 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_short 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
topic QA75 Electronic computers. Computer science
TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/27252/1/Barnacles%20mating%20optimizer%20-%20a%20new%20bio-inspired%20algorithm%20.pdf
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AT mohdmawardisaari barnaclesmatingoptimizeranewbioinspiredalgorithmforsolvingengineeringoptimizationproblems
AT hamdandaniyal barnaclesmatingoptimizeranewbioinspiredalgorithmforsolvingengineeringoptimizationproblems