Particle Swarm Optimisation with Improved Learning Strategy

Wei , Hong Lim and Isa, Nor Ashidi Mat (2015) Particle Swarm Optimisation with Improved Learning Strategy. Journal of Engineering Science and Technology, 11. pp. 27-48. ISSN 1823-4690

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Abstract

In this paper, a new variant of particle swarm optimisation (PSO) called PSO with improved learning strategy (PSO-ILS) is developed. Specifically, an ILS module is proposed to generate a more effective and efficient exemplar, which could offer a more promising search direction to the PSO-ILS particle. Comparison is made on the PSO-ILS with 6 well-established PSO variants on 10 benchmark functions to investigate the optimisation capability of the proposed algorithm. The simulation results reveal that PSO-ILS outperforms its peers for the majority of the tested benchmarks by demonstrating superior search accuracy, reliability and efficiency.

Item Type:	Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1-2040 Engineering (General). Civil engineering (General)
Divisions:	Penerbit Universiti Sains Malaysia (USM Press) > Journal of Engineering Science
Depositing User:	Mr Firdaus Mohamad
Date Deposited:	30 Oct 2018 01:37
Last Modified:	30 Oct 2018 01:37
URI:	http://eprints.usm.my/id/eprint/42783

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