首页> 外文会议>Brazilian Symposium on Neural Networks >Neural network applied to the coevolution of the memetic algorithm for solving the makespan minimization problem in parallel machine scheduling
【24h】

Neural network applied to the coevolution of the memetic algorithm for solving the makespan minimization problem in parallel machine scheduling

机译:并联机器调度中求解MECORIC算法的神经网络应用于解决MAPESPHAN最小化问题的映射

获取原文

摘要

A scheduling problem treats the allocation of resources, taking into account the execution of a set of operations, and with an objective, subject to a set of restrictions. The problem discussed here is one of scheduling the tasks in identical parallel machines. In this problem, we worked with a set of n tasks and m identical parallel machines, with the objective of minimizing the makespan. The makespan is the total processing time of the most busy machine. We considered that the tasks should be assigned without preemption, each machine can process one or more tasks, one at each time, and each task should be processed by just one machine.
机译:调度问题处理资源的分配,考虑到一组操作的执行,并具有一系列限制的目标。这里讨论的问题是调度相同并行机器中的任务之一。在这个问题中,我们使用一组N个任务和M个相同的并联机器,目的是最小化Makespan。 MakEspan是最繁忙的机器的总处理时间。我们认为应在没有抢占的情况下分配任务,每台机器都可以处理一个或多个任务,每个任务一次,每个任务都应仅由一台机器处理。

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