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

• 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/10355/1/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; http://umpir.ump.edu.my/id/eprint/10355/; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7119529

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...