A new approach of midrange exploration exploitation searching particle swarm optimization for optimal solution

Nurul Izzatie Husna, Muhamad Fauzi and Zalili, Musa (2023) A new approach of midrange exploration exploitation searching particle swarm optimization for optimal solution. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 430-434. (192961). ISBN 979-835031093-1

	Pdf A new approach of midrange exploration exploitation.pdf Restricted to Repository staff only Download (1MB) | Request a copy
Preview	Pdf A new approach of midrange exploration exploitation searching particle swarm optimization for optimal solution_ABS.pdf Download (900kB) | Preview

Abstract

The conventional Particle Swarm Optimization (PSO) was introduced as an optimization technique for real applications such as image processing, tracking, localization, and scheduling. However, conventional PSO still has its limitation in finding optimal solutions and is always trapped in the local optima. Therefore, the concept of conventional PSO was unsuitable to be used in dynamic problems. In order to address these issues, we have introduced a novel enhancement approach known as Midrange Exploration Exploitation Searching Particle Swarm Optimization (MEESPSO) to categorize the particle into resident particles and migrant particles according to midrange value. A migrant particle will execute the process of exploration to other search spaces, meanwhile resident particles went through the process of exploitation accordingly to the best solution. The comparison result shows that MEESPSO has the talent to increase the accuracy in a real application.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Dynamic environment; MEESPS; PSO
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	16 Apr 2024 04:05
Last Modified:	16 Apr 2024 04:05
URI:	http://umpir.ump.edu.my/id/eprint/40315
Download Statistic:	View Download Statistics

Actions (login required)

View Item