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Datasets for the healthcare social enterprise location problem

Domain:

healthcare

Record type:

dataset
Creator:
Jac
Editor:
Stellenbosch University
Publisher:
Men
Host:avatar
Solving complex multi-objective healthcare social enterprise location problems requires suitable metaheuristics capable of solving the problems. Moreover, data are required to conduct computational experiments to compare the metaheuristics. Due to a lack of benchmark data pertaining to healthcare social enterprise location problems in the literature, a synthetic problem instance generator was developed in Python to create reproducible synthetic problems. Four synthetic datasets were generated using a synthetic problem instance generator. The purpose of the synthetic datasets is mainly to compare metaheuristics for solving healthcare social enterprise location problems and then employ the best metaheuristic on real-world data in order to select suitable locations for a healthcare social enterprise based in South Africa.

Visit

doi.orgdata.mendeley.com

Tags

Industrial EngineeringMulti-Objective OptimizationData EngineeringFacility Location

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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