An improved leader guidance in multi objective particle swarm optimization

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 g...

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Main Authors: Kian , Sheng Lim, Buyamin, Salinda, Ahmad, Anita, Ibrahim, Zuwairie
Format: Book Section
Published: IEEE 2012
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Online Access:http://eprints.utm.my/id/eprint/34528/
http://ieeexplore.ieee.org/document/6243917/
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spelling my.utm.345282017-09-07T04:36:36Z http://eprints.utm.my/id/eprint/34528/ An improved leader guidance in multi objective particle swarm optimization Kian , Sheng Lim Buyamin, Salinda Ahmad, Anita Ibrahim, Zuwairie TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2012 Book Section PeerReviewed 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 http://ieeexplore.ieee.org/document/6243917/ DOI:10.1109/AMS.2012.29
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kian , Sheng Lim
Buyamin, Salinda
Ahmad, Anita
Ibrahim, Zuwairie
An improved leader guidance in multi objective particle swarm optimization
description 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.
format Book Section
author Kian , Sheng Lim
Buyamin, Salinda
Ahmad, Anita
Ibrahim, Zuwairie
author_facet Kian , Sheng Lim
Buyamin, Salinda
Ahmad, Anita
Ibrahim, Zuwairie
author_sort Kian , Sheng Lim
title An improved leader guidance in multi objective particle swarm optimization
title_short An improved leader guidance in multi objective particle swarm optimization
title_full An improved leader guidance in multi objective particle swarm optimization
title_fullStr An improved leader guidance in multi objective particle swarm optimization
title_full_unstemmed An improved leader guidance in multi objective particle swarm optimization
title_sort improved leader guidance in multi objective particle swarm optimization
publisher IEEE
publishDate 2012
url http://eprints.utm.my/id/eprint/34528/
http://ieeexplore.ieee.org/document/6243917/
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score 13.160551