Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions

Evaluation of Vector Evaluated Particle Swarm Optimisation Enhanced with Non-dominated Solutions and Multiple Nondominated Leaders based on WFG Test Functions

Multi Objective Optimisation (MOO) problem involves simultaneous minimization or maximization of many objective functions. One of MOO algorithms is Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm. In VEPSO, each objective function is optimised by a swarm of particles under guidance of...

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Bibliographic Details
Main Authors: Zuwairie, Ibrahim, Mohd Zaidi, Mohd Tumari, Mohd Falfazli, Mat Jusof, Kian, Sheng Lim
Format: Conference or Workshop Item
Language:English
English
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/10355/
http://umpir.ump.edu.my/id/eprint/10355/1/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf
http://umpir.ump.edu.my/id/eprint/10355/7/Evaluation%20of%20Vector%20Evaluated%20Particle%20Swarm%20Optimisation%20Enhanced%20with%20Non-dominated%20Solutions%20and%20Multiple%20Nondominated%20Leaders%20based%20on%20WFG%20Test%20Functions.pdf

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