An Effective Adaptive Multi-objective Particle Swarm for Multimodal Constrained Function Optimization
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| Title | An Effective Adaptive Multi-objective Particle Swarm for Multimodal Constrained Function Optimization |
| Authors | |
| Abstract | This paper presents a novel adaptive multi-objective particle swarm optimization algorithm and with adaptive multi-objective particle swarm algorithm for solving constrained function optimization problems, in which Pareto non-dominated ranking, tournament selection, crowding distance method were introduced, simultaneously the rate of crowding distance changing were integrated into the algorithm. Finally, ten standard functions are used to test the performance of the algorithm, experimental results show that the proposed approach is an effecient, and achieve a high-quality performance. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-08-01 |
| Source | Journal of Computers Vol 5, No 8 (2010): Special Issue: Recent Advances in Computer Science and Engineering |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |