6 skills found
rafaelmartinelli / FacilityLocationProblems.jlJulia Package for reading location problems data files
mitre / FfoaalImplementation of the maximum covered likelihood problem (MCLP) and Maximum Expected Covering Location Problem (MEXCLP) models.
StevenLamontagne / DynamicMCLP AcceleratedBranchAndBendersCutImplementation of greedy, branch-and-cut, unaccelerated and accelerated branch-and-Benders-cut, and accelerated branch-and-Benders-cut for the dynamic maximum covering location problem (MCLP).
yzhong1985 / Optimal Billboard Location Selectionthis is a project to demonstrate a implementation to solve maximum covering location problem for billboards in Phonix AZ
ShadowOS / Uncapacitated Fixed Charge Facility Location ProblemsIn most of the models that we have considered so far, the number of facilities to be located was an input into the model. For example, in the P-median and P-center problems, we try to locate P facilities to minimize the total demand-weighted distance or the maximum demand-weighted distance. Similarly, in the maximum covering location problem,we try to locate a given number of facilities to maximize the number of demands that are within some specified distance of the nearest facility. One notable exception was the set covering location model in which we try to minimize the number of facilities needed to cover all demands within a specified distance. In that case, the number of facilities was determined endogenously. By optimizing an objective function subject to a constraint that we locate a fixed number of facilities, we are implicitly separating operating costs or benefits as captured by the objective function from the construction costs for which the number of facilities is taken as a proxy. Such a separation is often important and necessary in public sector problems in which different agencies or actors bear the costs and receive the benefits or in which the benefits and costs are incommensurable. In the private sector, these problems are less acute. Costs are generally borne and benefits are realized by the same organization. Furthermore, costs and benefits can typically be measured in monetary units.
yzhong1985 / Optimal Billboard Location Traffic Volthis is a project to demonstrate a implementation to solve maximum covering location problem for billboards in New York city and Seattle based on traffic speed/volume