Mohd Herwan, Sulaiman and Zuriani, Mustaffa and Mohd Mawardi, Saari and Hamdan, Daniyal and Mohd Razali, Daud and Saifudin, Razali and Amir Izzani, Mohamed (2018) Barnacles mating optimizer: a bio-inspired algorithm for solving optimization problems. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018. Lecture Notes in Electrical Engineering . Springer Singapore, Singapore, pp. 211-2018. ISBN 978-981-13-3708-6
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Abstract
A novel bio-inspired optimization algorithm is proposed in this paper namely barnacles mating optimization (BMO) algorithm. The main inspiration of BMO is originated from the mating behavior of barnacles in nature. Barnacles are hermaphroditic micro-organisms which have both male and female sex reproductions. To create new off-springs, they must be fertilized by a neighbor. They are well-known for their long penises, about seven times the length of their bodies to cope with the changing tides and sedentary lifestyle. In BMO, the selection of barnacle’s parents is decided randomly by the length of barnacle’s penis to create new off-springs. The exploitation and exploration processes are the generation of new off-springs inspired by the Hardy-Weinberg principle and sperm cast situation, respectively. The effectiveness of proposed BMO is tested through a set of benchmark multi-dimensional functions which the global and local minimum are known. Comparisons with other recent algorithms also will be presented in this paper.
Item Type: | Book Chapter |
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Additional Information: | Indexed by Springer |
Uncontrolled Keywords: | Barnacles mating optimizer; Benchmark functions; Bio-inspired algorithm; Optimization |
Subjects: | Q Science > QA Mathematics > QA76 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Faculty/Division: | Faculty of Computer System And Software Engineering Faculty of Electrical & Electronic Engineering |
Depositing User: | Pn. Hazlinda Abd Rahman |
Date Deposited: | 07 Dec 2018 02:51 |
Last Modified: | 21 May 2019 04:18 |
URI: | http://umpir.ump.edu.my/id/eprint/22091 |
Download Statistic: | View Download Statistics |
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