Study and Comparison of Particle Swarm OptimizationEvolved in Sequence and Parallel Structure
碩士 === 國立高雄第一科技大學 === 系統與控制工程研究所 === 95 === The inspiration of Particle Swarm Optimization is from observing birds’ forage. In fact, all particles evolve in a swarm at the same time, so it use parallel processing manner to handle. However, most of the computers almost use sequent processing manner...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/13248582992566283737 |