Universiti Teknologi Malaysia Institutional Repository

An improved leader guidance in multi objective particle swarm optimization

Kian , Sheng Lim and Buyamin, Salinda and Ahmad, Anita and Ibrahim, Zuwairie (2012) An improved leader guidance in multi objective particle swarm optimization. In: Proceedings - 6th Asia International Conference on Mathematical Modelling and Computer Simulation, AMS 2012. IEEE, New York, USA, pp. 34-39. ISBN 978-076954730-5

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Official URL: http://ieeexplore.ieee.org/document/6243917/

Abstract

Generally, Particle Swarm Optimization based Multi-Objective Optimization algorithm use only one leader to guide the particles flight in the velocity update. Thus, this paper introduces a Multi Leaders Multi Objective Optimization algorithm which is an initial implementation of multiple leaders in guiding the particles flight to search for optimum solutions. The multiple leaders' method is implemented by summing up all the distance between a particle and all of its leaders during velocity update The algorithm is tested on several benchmark test problems to measure its convergence and diversity ability in finding the best Pareto Front. The results show a promising and competitive performance when compared to the other algorithms.

Item Type:Book Section
Additional Information:Indexed by Scopus
Uncontrolled Keywords:convergence, diversity, evolutionary computation, multi leader, multi-objective optimization, particle swarm optimization
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:34528
Deposited By:INVALID USER
Deposited On:07 Oct 2013 08:11
Last Modified:07 Sep 2017 04:36

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