Gooseneck barnacle optimization algorithm: A novel nature inspired optimization theory and application

Ahmed, Marzia and Mohd Herwan, Sulaiman and Ahmad Johari, Mohamad and Rahman, Mostafijur (2024) Gooseneck barnacle optimization algorithm: A novel nature inspired optimization theory and application. Mathematics and Computers in Simulation, 218. pp. 248-265. ISSN 0378-4754. (Published)

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Abstract

This paper introduces the Gooseneck Barnacle Optimisation Algorithm (GBO) as a novel evolutionary method inspired by the natural mating behaviour of gooseneck barnacles, which involves sperm casting and self-fertilization. GBO is mathematically modelled, considering the hermaphroditic nature of these microorganisms that have thrived since the Jurassic period. In contrast to the previously published Barnacle Mating Optimizer (BMO) algorithm, GBO more accurately captures the unique static and dynamic mating behaviours specific to gooseneck barnacles. The algorithm incorporates essential factors, such as navigational sperm casting properties, food availability, food attractiveness, wind direction, and intertidal zone wave movement during mating, creating two vital optimisation stages: exploration and exploitation. Real-world case studies and mathematical test functions serve as qualitative and quantitative benchmarks. The results demonstrate that GBO outperforms well-known algorithms, including the previous BMO, by effectively improving the initial random population for a given problem, converging to the global optimum, and producing significantly better optimisation outcomes

Item Type:	Article
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Optimization; Evolutionary Algorithm; Meta-Heuristic; Constrained Optimization; Benchmark; Covid-19; Confirmed cases
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	06 Nov 2023 04:14
Last Modified:	23 Apr 2024 07:27
URI:	http://umpir.ump.edu.my/id/eprint/39198
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