Barnacles mating optimizer: an evolutionary algorithm for solving optimization

M. H., Sulaiman and Zuriani, Mustaffa and Mohd Mawardi, Saari and Hamdan, Daniyal and Ismail, Musirin and Mohd Razali, Daud (2018) Barnacles mating optimizer: an evolutionary algorithm for solving optimization. In: 2018 IEEE International Conference On Automatic Control And Intelligent Systems (I2CACIS2018) , 20 Oct 2018 , Shah Alam, Selangor. pp. 1-6.. (Unpublished)

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Abstract

This paper presents a novel evolutionary algorithm called Barnacles Mating Optimizer (BMO) to solve optimization problems. The proposed algorithm is inspired from the mating behavior of barnacles in nature. Barnacles are known as hermaphroditic micro-organisms which have both male and female sex reproductions and one of the most special characteristics of barnacles is they have long penises which is the longest in animal kingdom, relatively to their body size. To show the effectiveness of proposed BMO in solving optimization problems, a set of 23 mathematical functions are utilized to test the characteristic of BMO in finding the optimal solutions especially in unimodal, multimodal and composite test functions. Comparisons with other evolutionary algorithms also will be presented in this paper.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Barnacles mating optimizer; Benchmark functions; Evolutionary algorithm; Optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Faculty of Computer System And Software Engineering
Depositing User: Pn. Hazlinda Abd Rahman
Date Deposited: 13 Dec 2018 01:12
Last Modified: 13 Dec 2018 01:12
URI: http://umpir.ump.edu.my/id/eprint/22432
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