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Improving Vector Evaluated Particle Swarm Optimisation using Multiple Nondominated Leaders

The vector evaluated particle swarm optimisation (VEPSO) algorithm was previously improved by incorporating nondominated solutions for solving multiobjective optimisation problems. However, the obtained solutions did not converge close to the Pareto front and also did not distribute evenly over the...

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Bibliographic Details
Main Authors: Faradila, Naim, Kian, Sheng Lim, Salinda, Buyamin, Anita, Ahmad, Mohd Ibrahim, Shapiai, Marizan, Mubin, Dong, Hwa Kim
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/9222/1/Improving%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Using%20Multiple%20Nondominated%20Leaders.pdf
http://umpir.ump.edu.my/id/eprint/9222/
http://dx.doi.org/10.1155/2014/364179
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http://umpir.ump.edu.my/id/eprint/9222/1/Improving%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Using%20Multiple%20Nondominated%20Leaders.pdf
http://umpir.ump.edu.my/id/eprint/9222/
http://dx.doi.org/10.1155/2014/364179

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