A Study of Particle Swarm Optimization with Random Particles and Fine-Tuning Mechanism for Multimodal Functions Problems
碩士 === 國立臺灣科技大學 === 機械工程系 === 94 === This thesis aims at developing a modified particle swarm optimization (PSO) algorithm. The proposed method called PSO-RPFT will introduce two operators, “Random Particles” and “Fine-Tuning”, into the PSO algorithm. The former can prevent the population from trapp...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/9r4kux |