摘要
对于冷拔钢管生产车间的可重入生产的调度问题,采用计算机仿真软件系统eM-Plant来进行仿真优化求解。首先设定工件的成组规则,简化调度问题为投料策略与派工策略,然后采用遗传算法进行调度参数优化。仿真结果的对比表明遗传算法对此类问题的求解有较强的优化性能和稳定性。
For the re-entrant production scheduling of steel pipes job shop, the eM-Plant computer simulation software was used to solve the problem. Firstly, set the regulator of work pieces group together, simplify the problem to materials putforward strategies and job dispatch strategies. Then adopt the Genetic Algorithms to optimize schedule planning. Compared with the results, it was obvious that there is a strong optimize performance and stability with genetic algorithms.
出处
《计算机科学》
CSCD
北大核心
2009年第9期297-299,302,共4页
Computer Science
基金
国家863高科技计划项目(2006AA04Z369-1)资助
