1) Lagrangian relaxation technology
拉格朗日松弛技术
2) Lagrangian relaxation
拉格朗日松弛
1.
Collaborative planning in supply chains based on Lagrangian relaxation and genetic algorithm;
基于拉格朗日松弛和遗传算法的供应链协同计划
2.
Fuzzy subgradient algorithm for solving Lagrangian relaxation dual problem;
利用模糊次梯度算法求解拉格朗日松弛对偶问题
3.
Novel fault localization approach based on Lagrangian relaxation and subgradient method;
基于拉格朗日松弛和次梯度法的网络故障定位新方法
3) Lagrange relaxation
拉格朗日松弛
1.
Coordination method for multi-plants supply chain production planning based on Lagrange relaxation algorithm;
利用拉格朗日松弛算法协调多厂供应链生产计划
2.
Self-adaptive Lagrange relaxation algorithm for aggregated multicast;
解决聚合组播的自适应拉格朗日松弛算法
3.
An algorithm based on Lagrange relaxation for delay-constrained multicast routing;
一种基于拉格朗日松弛的时延约束多播路由算法
4) Lagrange relaxation algorithm
拉格朗日松弛法
1.
Firstly,Lagrange relaxation algorithm was applied to obtain several Pareto optima which were exploited to divide the search space into several domains.
该方法首先使用拉格朗日松弛法获得若干Pareto解,从而将搜索范围划分为若干区域。
5) lagrangian relaxation
拉格朗日松弛法
1.
Market deregulation makes transmission networks running near the edge of security limit, so it is particularly important to consider network security constraints in unit commitment and the Lagrangian relaxation method based on dual principle is an effective way to solve this problem.
市场机制驱使电网运行于安全极限的边缘,考虑网络安全约束的机组组合问题变得尤为重要,基于对偶原理的拉格朗日松弛法是解决这一问题的有效途径。
2.
At first stage, an augmented Lagrangian relaxation method is deve loped to obtain a preparatory job-shop scheduling.
该策略分 3个阶段 :首先 ,采用增广拉格朗日松弛法获得复杂可重构制造系统的车间作业预调度方案 ,该方法能将复杂作业调度问题分解成多个任务层的子问题 ,通过求解子问题获得任务的作业时间和对应工序加工的生产设备类型 ;然后 ,对制造系统进行组织重构以形成多个虚拟制造单元 ,旨在使制造单元内的生产设备间物流传送 (由自动导航小车承担 )费用最小 ;最后 ,通过离散动态规划形成虚拟制造单元的生产作业调度次优可行方案 。
3.
We explore the use of Lagrangian Relaxation to the model, by which the complex scheduling problem can be decomposed into subproblems and solved effectively.
基于一体化管理思想,在已编制的炼钢-连铸生产调度模型及轧制批量计划的基础上,建立了炼钢-连铸-热轧一体化生产调度模型,将拉格朗日松弛法应用于模型中,利用拉格朗日松弛法较好的分解特性,使大规模复杂调度问题的求解成为可能。
6) lagrangian relaxation method
拉格朗日松弛法
1.
Lagrangian relaxation method is applied to the power plant investment decision.
在电源规划程序 JASP的基础上 ,采用拉格朗日松弛法优化电源投资决策 ,并保留了原算法中应用非常成功的随机生产模拟算法——等效电量函数法 ,使整体算法更趋严谨完善 ,求解变量多 ,计算速度快。
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参考词条