A Self-Adaptive Particle Swarm Optimization with Fitness Adjustment Parameters
博士 === 東海大學 === 工業工程與經營資訊學系 === 106 === Particle swarm optimization (PSO) has been widely applied in solving optimization problems because of its simple execution with fast convergence and high solution quality as known. Previous research has observed the effect of PSO parameters on a particle’s mov...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5t3fw3 |