Review paper
Solving maximal covering location problem using genetic algorithm with local refinement
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
Journal
Volume
22
Issue
12
Pages
3891 - 3906
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