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Transitional particle swarm optimization

Nor Azlina, Ab. Aziz and Zuwairie, Ibrahim and Marizan, Mubin and Sophan Wahyudi, Nawawi and Nor Hidayati, Abdul Aziz (2017) Transitional particle swarm optimization. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1611-1619. ISSN 2088-8708

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Abstract

A new variation of particle swarm optimization (PSO) termed as transitional PSO (T-PSO) is proposed here. T-PSO attempts to improve PSO via its iteration strategy. Traditionally, PSO adopts either the synchronous or the asynchronous iteration strategy. Both of these iteration strategies have their own strengths and weaknesses. The synchronous strategy has reputation of better exploitation while asynchronous strategy is stronger in exploration. The particles of T-PSO start with asynchronous update to encourage more exploration at the start of the search. If no better solution is found for a number of iteration, the iteration strategy is changed to synchronous update to allow fine tuning by the particles. The results show that T-PSO is ranked better than the traditional PSOs.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Asynchronous update; Iteration strategy; Particle swarm optimization; Synchronous update
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 10 Mar 2020 10:04
Last Modified: 10 Mar 2020 10:04
URI: http://umpir.ump.edu.my/id/eprint/27013
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