首页> 外文会议>International Conference on Dependability and Complex Systems >Short-Term and Long-Term Memory in Tabu Search Algorithm for CAD of Complex Systems with Higher Degree of Dependability
【24h】

Short-Term and Long-Term Memory in Tabu Search Algorithm for CAD of Complex Systems with Higher Degree of Dependability

机译:Tabu中的短期和长期记忆,用于高可靠度的复杂系统CAD的算法

获取原文
获取外文期刊封面目录资料

摘要

The paper introduces a proposal of a new algorithm for Computer Aided Design (CAD) of complex system with higher degree of dependability. This algorithm optimizes tasks scheduling, resources partition and the allocation of tasks and resources. Complexity of computation for decision versions of these optimization problems is NP-complete, so solved efficiently e.g. by meta-heuristic algorithms. Presented in this paper algorithm is based on Tabu Search method. It may have a practical application in developing tools for rapid prototyping of such systems. The Tabu Search method uses memory structures. This structures describe the found solutions or provide sets of rules for consideration only new solutions.
机译:本文介绍了具有较高可靠性的复杂系统的计算机辅助设计(CAD)算法的提议。此算法优化任务调度,资源分区和任务和资源的分配。这些优化问题的决策版本的计算复杂性是NP-Tremint,所以有效地解决了。通过元启发式算法。本文呈现,算法基于禁忌搜索方法。它可能在开发用于这种系统的快速原型设计的工具中具有实际应用。禁忌搜索方法使用内存结构。该结构描述了找到的解决方案或提供了仅考虑新解决方案的规则。

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