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一种新的遗传算法在并行机调度问题中的应用

APPLYING A NEW GENETIC ALGORITHM IN PARALLEL MULTI-MACHINE SCHEDULING PROBLEM

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【作者】 高家全何桂霞赵端阳王雨顺

【Author】 Gao Jiaquan1 He Guixia1 Zhao Duanyang1 Wang Yushun21(College of Zhijiang,Zhejiang University of Technology,Hangzhou 310024,Zhejiang,China) 2(School of Mathematics and Computer Science, Nanjing Normal University, Nanjing 210097,Jiangsu,China)

【机构】 浙江工业大学之江学院南京师范大学数学与计算机科学学院

【摘要】 针对相同交货期窗口非等同并行机提前/拖后调度问题,设计了一个基于向量组编码的遗传算法。此算法的编码方法简单,能有效地反映实际调度方案,收敛速度快。为适应调度实时性和解大型此类问题的需要,基于遗传算法自然并行性特点的基础上,实现了主从式控制网络模式下并行遗传算法。仿真结果表明,此算法是有效的,优于普通的遗传算法,具有较高的并行性。

【Abstract】 In order to solve parallel multi-machine earliness/tardiness scheduling problem with same due date windows, a new genetic algorithm which is based on vector group coding method is designed. The algorithm has following characteristics: simple coding method and faster convergence speed, effectively reflects the actual scheduling scheme. Under the mode of master-slave control networks, parallel genetic algorithm is applied for adapting to the needs of solving larger scale problems of this kind and problem of real-time scheduling. The simulation results show that it is an effective genetic algorithm with advantages over common ones, and has better parallelism.

【基金】 国家自然科学基金项目(40405019);浙江省教育厅基金(20051436)
  • 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2008年08期
  • 【分类号】TP18;TP338.6
  • 【被引频次】2
  • 【下载频次】273
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