首页> 外文期刊>International Journal of Applied Science - Research and Review >Bi-objective Parallel Machine Scheduling with Fuzzy Processing Time: Total Tardiness/Number of Tardy Jobs
【24h】

Bi-objective Parallel Machine Scheduling with Fuzzy Processing Time: Total Tardiness/Number of Tardy Jobs

机译:具有模糊处理时间的双目标并行机器调度:总迟延/迟到的作业数

获取原文
       

摘要

In this paper we have considered the scheduling on parallel machines which optimizes the Total Tardiness and Number of Tardy jobs simultaneously. The processing times and setup times of jobs are uncertain in nature and only estimated values are given. The fuzzy triangular membership function is used to describe uncertainly involved. The objective of the paper is to find the optimal sequence of the jobs processing on parallel identical machines so as to minimize the secondary criteria of Total Tardiness with the condition that the primary criteria of number of tardy jobs remains optimized. The numerical illustrations are also given to demonstrate the computational efficiency of algorithm proposed.
机译:在本文中,我们考虑了并行计算机上的调度,该调度可同时优化“总延迟”和“延迟工作”数量。作业的处理时间和设置时间本质上是不确定的,仅给出估计值。模糊三角隶属函数用于描述不确定的参与。本文的目的是在并行的相同机器上找到作业处理的最佳顺序,以便在保持迟到作业数量的主要标准保持最佳的条件下,将“总拖延”的次要标准最小化。数值图示也证明了所提出算法的计算效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号