Genetic Algorithm applied to the facility allocation/location problem
Abstract
This article presents the Genetic Algorithm (GA) applied to the problem of allocation / location of health center. The goal is a minimum number of health posts covering a greater quantity of demand points by positioning them geographically at strategic points. In this problem, the number of facilities is not fixed, and it is up to GA to find a number of health centers that meet the established criteria. The possibility of filament generation during times of movement at health posts is disregarded. The Genetic Algorithm proved to be very effective in computational tests in several small instances of large problems, with a rapid evolution of the population.
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