Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions

Kian, Sheng Lim and Zuwairie, Ibrahim and Salinda, Buyamin and Anita, Ahmad and Faradila, Naim and Kamarul Hawari, Ghazali and Norrima, Mokhtar (2013) Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions. The Scientific World Journal, 2013. pp. 1-19. ISSN 2356-6140 (print); 1537-744X (online). (Published)

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Abstract

The Vector Evaluated Particle Swarm Optimisation algorithm is widely used to solve multiobjective optimisation problems. This algorithm optimises one objective using a swarm of particles where their movements are guided by the best solution found by another swarm. However, the best solution of a swarm is only updated when a newly generated solution has better fitness than the best solution at the objective function optimised by that swarm, yielding poor solutions for the multiobjective optimisation problems. Thus, an improved Vector Evaluated Particle Swarm Optimisation algorithm is introduced by incorporating the nondominated solutions as the guidance for a swarm rather than using the best solution from another swarm. In this paper, the performance of improved Vector Evaluated Particle Swarm Optimisation algorithm is investigated using performance measures such as the number of nondominated solutions found, the generational distance, the spread, and the hypervolume. The results suggest that the improved Vector Evaluated Particle Swarm Optimisation algorithm has impressive performance compared with the conventional Vector Evaluated Particle Swarm Optimisation algorithm.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Faculty of Electrical & Electronic Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	22 Apr 2016 07:27
Last Modified:	08 Feb 2018 02:28
URI:	http://umpir.ump.edu.my/id/eprint/6528
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