计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (21): 202-206.
• 工程与应用 • 上一篇 下一篇
陈学诣，李跃宇
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CHEN Xue-yi，LI Yue-yu
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摘要： 提出一种在严格遵守装配先后顺序及其它装配工艺的前提下，运用粒子群算法等智能算法将流水线各个工人的操作动作进行重新组合，使得流水线在一定工人数量前提下达到最快生产速度的方法。再通过系统仿真的方法对选出的方案进行检验，以考察流水线运行稳定性等因素。
关键词: 流水线, 粒子群算法, 遗传算法, 系统仿真, 工序重组
Abstract: This paper introduces a method to make the production line to use certain number of workers to achieve the fastest working speed by using Particle Swarm Optimization Algorithms to recombine operation action of each worker，when observing assemble sequence and other technics.Then the project is tested by the simulation method to check the factors such as stabilization of production line.
Key words: production line, Particle Swarm Optimization algorithms, henetic algorithms, simulation, working procedure recombination
陈学诣，李跃宇. 基于粒子群算法和系统仿真的流水线工序重组[J]. 计算机工程与应用, 2007, 43(21): 202-206.
CHEN Xue-yi，LI Yue-yu. Production line working procedure recombine based on particle swarm optimization algorithms and simulation[J]. Computer Engineering and Applications, 2007, 43(21): 202-206.
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http://cea.ceaj.org/CN/Y2007/V43/I21/202
