Improved Particle Swarm Optimization and Simulation in Solving Permutation Flow Shop Scheduling Problems with Uncertain Process Times
碩士 === 正修科技大學 === 工業工程與管理研究所 === 102 === The main purpose of this research is to study the applications of the improved Particle Swarm Optimization algorithm (PSO) and system simulation on the permutation flow shop scheduling problem (PFSP) with uncertain processing time. First, taking an example fr...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/15099388442872054171 |