首页> 外文会议>Annual meeting of the Decision Sciences Institute >A Lagrangean Based Heuristic for the Degree Constrained Capacitated Minimal Spanning Tree Problem
【24h】

A Lagrangean Based Heuristic for the Degree Constrained Capacitated Minimal Spanning Tree Problem

机译:度约束的最小生成树问题的基于拉格朗日启发式算法

获取原文

摘要

In this paper we formulate the degree constrained capacitated minimal spanning tree problem as an integer programming problem that leads to a lagrangean relaxation of the problem. A subgradient optimization technique is used on this relaxation to find good lower bounds on the optimal objective function value. A branch exchange procedure is used in every iteration of the subgradient optimization method to generate a feasible solution from each infeasible Lagrangean solution. The best feasible solution is retained when the subgradient optimization mehtod is terminated.
机译:在本文中,我们将度约束的最小生成树问题公式化为导致问题的拉格朗日松弛的整数规划问题。次梯度优化技术用于此松弛,以找到最佳目标函数值的良好下界。在次梯度优化方法的每次迭代中都使用分支交换过程,以从每个不可行的Lagrangean解中生成可行的解。当次梯度优化方法终止时,将保留最佳可行解决方案。

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