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The Multiple Gradual Maximal Covering Location Problem

Geographical Analysis
This article describes a new spatial optimization model, the Multiple Gradual Maximal Covering Location Problem (MG‐MCLP). This model is useful when coverage from multiple facilities or sensors is necessary to consider a demand to be covered, and when the quality of that coverage varies with the number of located facilities within the service distance,
Ashleigh N. Price, Kevin M. Curtin
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The maximal covering location disruption problem

Computers & Operations Research
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Relationship Between Set Covering Location and Maximal Covering Location Problems in Facility Location Application

2016
Covering problem is one of the classical facility location problems; set covering location model and maximal covering location model are two kinds of basic covering location models. After introducing those models, analyzing and expounding the relationship in application between the two kinds of model, the paper draws a conclusion that maximal covering ...
Huaijun Peng, Yong Qin, Yanfang Yang
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The capacitated maximal covering location problem with backup service

Annals of Operations Research, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pirkul, Hasan, Schilling, David
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A hybrid method for the Probabilistic Maximal Covering Location–Allocation Problem

Computers & Operations Research, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pereira, Marcos Antonio   +3 more
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Maximal covering location problem with price decision for revenue maximization in a competitive environment

OR Spectrum, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Plastria, Frank, Vanhaverbeke, Lieselot
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Optimizing unprecedented Maximal Covering Location Problem with simulated annealing Algorithm

2011 International Conference on Business, Engineering and Industrial Applications, 2011
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhance its applicability, like the probabilistic model for the maximum covering location- allocation with constraint in waiting time or queue length for congested systems with one
Reza Rabieyan, Nima Esfandiari
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Dynamic Multi-objective Maximal Covering Location Problem with Gradual Coverage

2015
In this study, a dynamic multiple-objective model of maximal covering location problem has been presented in which the gradual coverage radius has been taken into account. The model has several aims, including: maximizing initial coverage, maximizing backup coverage, and minimizing the fixed and variable expenses related to the location, transportation
Mohammad Forghani Youshanlo   +1 more
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Solving Maximal Covering Location Problem Using Chemical Reaction Optimization

2021
Md. Shymon Islam   +2 more
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Planar maximal covering location problem under different block norms

2004
This study introduces a new model for the planar maximal covering location problem (PMCLP) under different block norms. The problem involves locating p facilities anywhere on the plane in order to cover the maximum number of n given demand points.
openaire   +1 more source

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