Solving maximal covering location problem using genetic algorithm with local refinement

Volume: 22, Issue: 12, Pages: 3891 - 3906
Published: Apr 20, 2017
Abstract
The maximal covering location problem (MCLP) deals with the problem of finding an optimal placement of a given number of facilities within a set of customers. Each customer has a specific demand and the facilities are to be placed in such a way that the total demand of the customers served by the facilities is maximized. In this article an improved genetic algorithm (GA)-based approach, which utilizes a local refinement strategy for faster...
Paper Details
Title
Solving maximal covering location problem using genetic algorithm with local refinement
Published Date
Apr 20, 2017
Volume
22
Issue
12
Pages
3891 - 3906
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