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Showing 1 to 5 of 5 for “"MCLP"”.
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DeepGridMCLP: A Deep Reinforcement Learning Approach to Solve the Maximal Covering Location Problem with Facilities in Continuous Regions
<p>The Maximal Covering Location Problem (MCLP) is a classic Combinatorial Optimization Problem (COP) in spatial optimization and operations research, predominatnly used for strategic public facility placement. The model’s objective is to determine the optimal locations for a fixed number of …
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Investigating the Role of Location-Allocation Models in Planning the Locations of Dry Fire Hydrants
… model, the Maximal Covering Location Problem (MCLP), is selected. The flexibility of the MCLP model is then tested by imposing fine manipulations of hydrant demand weighting schemes.
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Supervised classification and network location problems via mathematical optimization
… of the Maximal Covering Location Problem (MCLP) in networks. These variants respond to the modeling of two different scenarios, with and without uncertainty in the input data. First, Chapter 4 presents the upgrading version of MCLP with edge length modifications on networks. This problem …
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Adaptable Spatial Agent-Based Facility Location for Healthcare Coverage
… the Maximal Covering Location Problem (MCLP), seeks to locate HCFs such that as much population as possible is covered within a desired service distance. A consideration to the population not covered introduces a distance constraint that is greater than the desired service distance, …