• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (11): 46-49.

• 论文 • 上一篇    下一篇

基于混合粒子群算法的试验选址问题研究

欧阳星明[1] 林伟周[1] 陈迎春[2]   

  • 出版日期:2007-11-01 发布日期:2010-05-30

  • Online:2007-11-01 Published:2010-05-30

摘要:

大型海上试验涉及分散在全国各地的人员、平台、测量设备和产品等资源。试验海区分布在漫长的海岸线上,将这些资源运输到合适的海区属于运输问题。试验海区的选择会影响资源的取舍,资源的取舍与试验流程优化这一车间调度问题密切相关,而试验流程优化反过来又会影响资源的取舍和海区的选择。因此,试验海区的选择是运输问题和车
 车间调度问题的耦合。本文建立了该问题的数学模型,并分别用粒子群算法和排队论处理流程优化中的时间约束和资源约束,再用启发式算法对运输问题进行优化。最后,以某产品的试验为例对算法进行了验证,结果表明了该方法的有效性。

关键词: 工厂选址问题 车间调度问题 粒子群算法 海上试验

Abstract:

A comprehensive sea test demands many resources scattered all over China. Transporung all tnese resources to an appropriate sea area belongs to the fa cility locating problem. The choice of test areas may affect that of test resources and consequently test scheduling, which is a job-shop scheduling problem. Meanwhile, test scheduling will affect the choice of resources and test areas. Therefore, the choice of sea areas is the coupling of the facility   locating problem and the iobshop scheduling problem. The mathematical model of the problem is established first. Then particle swarm optimization and the queuing theory are adopted to deal with the precedence constraints and the resource constraints of test scheduling respectively. During the evaluationot the titness function, a heuristic algorithm is used for resource assignment and transportation before the evaluation of the total test cost, includi ng transportation, construction cost and operational cost of the resources. Simulation results show the validity of the method.

Key words: facility locating problem;job shop scheduling problem;particle swarm optimization, sea test