A NEW MULTI OBJECTIVE APPROACH FOR OPTIMIZING p-MEDIAN MODELING IN SCHOOL ALLOCATION USING GENETIC ALGORITHM
atena
A NEW MULTI OBJECTIVE APPROACH FOR OPTIMIZING p-MEDIAN MODELING IN SCHOOL ALLOCATION USING GENETIC ALGORITHM
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DOI: 10.22533/at.ed.88719090816
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Palavras-chave: atena
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Keywords: p-Median modelling. Generalized Distance. Locating Higher Education Schools. Genetic Algorithm.
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Abstract:
This paper proposes a new
methodology for a multi parameter approach
using the p-median. The optimized solution
must fulfill the following criteria: It must minimize
distances between cities without a university to
a city that has a university; It must prioritize cities
with a higher population; It must prioritize cities
with a lower United Nation Human Development
Index. The use of a multiparametric approach
was only possible by introducing the concept
of a generalized distance. The results compare
the existing distribution of campuses of the
Federal system with the best location resulting
from the multi parameter method proposed
here. Locations for expansion of the current
established university in Amazonas State,
Brazil, are proposed.
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Número de páginas: 15
- Marly Guimarães Fernandes Costa
- Cícero Ferreira Fernandes Costa Filho
- CLAHILDEK MATOS XAVIER