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)
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Abstract
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.
| Item Type: | Article |
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| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Barnacles optimization algorithm; Benchmarked functions; Loss minimization; Meta-heuristic technique; Optimal reactive power dispatch |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Computer System And Software Engineering Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 27 Feb 2020 04:56 |
| Last Modified: | 27 Feb 2020 04:56 |
| URI: | http://umpir.ump.edu.my/id/eprint/27252 |
| Download Statistic: | View Download Statistics |
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