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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/10355/ 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 |