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   覆盖选址 在 宏观经济管理与可持续发展 分类中 的翻译结果: 查询用时:1.447秒
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  covering location problems
This article addresses the design of a simulated-annealing approach for the p-median and maximal covering location problems.
      
  covering location problems
This article addresses the design of a simulated-annealing approach for the p-median and maximal covering location problems.
      
  coverage problem
Two patients required a rotational fasciocutaneous flap to handle the soft tissue coverage problem.
      
When species distributions are known, this corresponds to the maximal coverage problem.
      
This is called the maximal expected coverage problem.
      
In this paper we formulate a graph-theoretic problem called the Constrained Coverage Problem to optimally select a subset to traceroute-type probes to monitor networks where the topology is known.
      
The application of the Constrained Coverage Problem to randomly generated topologies yielded an 88.1% reduction in the number of monitored traceroute-type probes on average.
      
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  coverage problem
Two patients required a rotational fasciocutaneous flap to handle the soft tissue coverage problem.
      
When species distributions are known, this corresponds to the maximal coverage problem.
      
This is called the maximal expected coverage problem.
      
In this paper we formulate a graph-theoretic problem called the Constrained Coverage Problem to optimally select a subset to traceroute-type probes to monitor networks where the topology is known.
      
The application of the Constrained Coverage Problem to randomly generated topologies yielded an 88.1% reduction in the number of monitored traceroute-type probes on average.
      
更多          


The classical facility location problems think little of time,which is a critical issue for a company to gain its competitive advantage nowadays.In the light of this situation,this paper defined the time satisfaction function and presented the Time-Satisfaction-Based Maximal Covering Location Problem(TSBMCLP).Given a discrete network G(V,A),we formulated TSBMCLP as an integer programming under the goal of maximizing the total satisfaction of customers to the service facility's response time.After investigating...

The classical facility location problems think little of time,which is a critical issue for a company to gain its competitive advantage nowadays.In the light of this situation,this paper defined the time satisfaction function and presented the Time-Satisfaction-Based Maximal Covering Location Problem(TSBMCLP).Given a discrete network G(V,A),we formulated TSBMCLP as an integer programming under the goal of maximizing the total satisfaction of customers to the service facility's response time.After investigating the characteristics of TSBMCLP,we provided a heuristic algorithm based on Lagrangian relaxation and coded the algorithm in MATLAB to solve the range of problems considered,the computational result was analyzed after experiment.

传统的选址问题过于简单地考量时间这一对企业竞争力影响重大的因素,结合这一特点,本文对时间满意度函数进行了定义并提出了基于时间满意的最大覆盖选址问题。给定的网络G(V,A)中,在总的顾客对服务站响应速度的满意程度最大的目标下建立了最大覆盖选址问题模型,我们在讨论了问题的特点之后给出了基于拉格朗日松驰的启发式算法,并通过MATLAB进行了编程计算实验,分析了实验结果。

We consider the multiple allocation hub set covering problem(MAHSCP): requiring all O-D flow to reach the destination optionally passing through one or two hubs in a limited time,cost or distance,what is the optimal way to locate hubs at minimal cost.The paper first proposes a new model for the MAHSCP.Then,provides an intelligent heuristic(approach) based on scatter search with two combination operators.The computational experience shows scatter search works well for MAHSCP.And the two combination operators...

We consider the multiple allocation hub set covering problem(MAHSCP): requiring all O-D flow to reach the destination optionally passing through one or two hubs in a limited time,cost or distance,what is the optimal way to locate hubs at minimal cost.The paper first proposes a new model for the MAHSCP.Then,provides an intelligent heuristic(approach) based on scatter search with two combination operators.The computational experience shows scatter search works well for MAHSCP.And the two combination operators have the advantages of computational efficiency and solution quality respectively.

研究多分配枢纽站集覆盖选址问题(M AHSCP):如何以最少的建站费用选择枢纽站,使所有的O-D流都能够在规定的时间、费用或距离内从供给点任意经过一个或两个枢纽站后到达需求点。通过建立M AHSCP的改进模型,设计求解该问题的分散搜索算法,算法提供了两种组合操作策略,最后给出基于澳大利亚邮政(AP)枢纽中心选址数据包的计算实验。实验表明,分散搜索算法在求解M AHSCP时具有很好的计算效果。同时,实验显示两种组合操作策略分别具有更好的求解效率与求解质量。

 
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