General form of a cooperative gradual maximal covering location problem

Bagherinejad, Jafar; Bashiri, Mahdi; Nikzad, Hamideh

doi:10.1007/s40092-017-0219-5

Cited by 22 publications

(5 citation statements)

References 33 publications

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“…The CLSCP aims to select a group of facilities that can satisfy, in aggregate, all demand points. Recent papers on cooperative cover include Karatas [27], Bagherinejad, Bashiri [28], and Morohosi and Furuta [29].…”

Section: Cooperative Location Set Cover Problem (Clscp)mentioning

confidence: 99%

A Point-of-Interest Recommender System for Tourist Groups Based on Cooperative Location Set Cover Problem

Telonis,

Panteli,

Boutsinas

2023

Mathematics

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Trip recommendation for groups of tourists (TRGT) is a challenging task in tourism since many tourists travel in groups, inducing social interaction and bringing various social benefits. However, TRGT must address various real-life constraints such as limited time for touring, cost, etc. TRGT aims to design personalized tours that meet the preferences of all group members by addressing a variety of tourists’ requirements that may sometimes result in conflicts and stress for the group members. TRGT should satisfy that both the preferences of group members need to be achieved as much as possible and the preferences of group members need to be achieved as evenly as possible. In this paper, we present a methodology for tackling the TRGT problem by reducing it to the Cooperative Location Set Cover Problem (CLSCP), formulated as an integer linear program. The CLSCP aims to select a group of facilities that can satisfy, in aggregate, all demand points. To tackle the CLSCP, we present a new method based on detecting frequent patterns. We also demonstrate the efficiency of the proposed methodology by presenting extensive experimental tests.

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Section: Cooperative Location Set Cover Problem (Clscp)mentioning

confidence: 99%

A Point-of-Interest Recommender System for Tourist Groups Based on Cooperative Location Set Cover Problem

Telonis,

Panteli,

Boutsinas

2023

Mathematics

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“…In accordance with the general location theory, [ 32 ] states that the implementation of all the various different coverage concepts together can support decision-making. They integrated the gradual and cooperative coverage measures into a mathematical formulation that can be reduced to the classical version of gradual and cooperative coverage by setting some of its parameters.…”

Section: Related Literaturementioning

confidence: 99%

Accessible location of mobile labs for COVID-19 testing

Villicaña-Cervantes

Ibarra-Rojas

2022

Health Care Manag Sci

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In this study, we address the problem of finding the best locations for mobile labs offering COVID-19 testing. We assume that people within known demand centroids have a degree of mobility, i.e., they can travel a reasonable distance, and mobile labs have a limited-and-variable service area. Thus, we define a location problem concerned with optimizing a measure representing the accessibility of service to its potential clients. In particular, we use the concepts of classical, gradual, and cooperative coverage to define a weighted sum of multiple accessibility indicators. We formulate our optimization problem via a mixed-integer linear program which is intractable by commercial solvers for large instances. In response, we designed a Biased Random-Key Genetic Algorithm to solve the defined problem; this is capable of obtaining high-quality feasible solutions over large numbers of instances in seconds. Moreover, we present insights derived from a case study into the locations of COVID-19 testing mobile laboratories in Nuevo Leon, Mexico. Our experimental results show that our optimization approach can be used as a diagnostic tool to determine the number of mobile labs needed to satisfy a set of demand centroids, assuming that users have reduced mobility due to the restrictions because of the pandemic.

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“…They also proposed two mixed integer linear programming formulations and did an extensive numerical study on randomly generated data with different demand patterns. Yin and Mu [49] assumed the ambulances as the modules of the emergency service facilities and proposed two variants of the capacitated MCLP for fixed and unfixed number of facilities to be located. They formulated their model as a static model and utilized the geographical information system.…”

Section: Literature Reviewmentioning

confidence: 99%

Hybrid Set Covering and Dynamic Modular Covering Location Problem: Application to an Emergency Humanitarian Logistics Problem

Alizadeh

Nishi

2020

Applied Sciences

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This paper presents an extension of the covering location problem as a hybrid covering model that utilizes the set covering and maximal covering location problems. The developed model is a multi-period model that considers strategic and tactical planning decisions. Hybrid covering location problem (HCLP) determines the location of the capacitated facilities by using dynamic set covering location problem as strategic decisions and assigns the constructive units of facilities and allocates the demand points by using dynamic modular capacitated maximal covering location problem as tactical decisions. One of the applications of the proposed model is locating first aid centers in humanitarian logistic services that have been addressed by studying a threat case study in Japan. In addition to validating the developed model, it has been compared to other possible combined problems, and several randomly generated examples have been solved. The results of the case study and model validation tests approve that the main hybrid developed model (HCLP) is capable of providing better coverage percentage compared to conventional covering models and other hybrid variants.

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General form of a cooperative gradual maximal covering location problem

Cited by 22 publications

References 33 publications

A Point-of-Interest Recommender System for Tourist Groups Based on Cooperative Location Set Cover Problem

A Point-of-Interest Recommender System for Tourist Groups Based on Cooperative Location Set Cover Problem

Accessible location of mobile labs for COVID-19 testing

Hybrid Set Covering and Dynamic Modular Covering Location Problem: Application to an Emergency Humanitarian Logistics Problem

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