E. A. Rincón-García*1, M. A. Gutiérrez-Andrade,2 S. G. de-los-Cobos-Silva,2 P. Lara-Velázquez,1 A. S. Ponsich,1 R. A. Mora-Gutiérrez3
1 Universidad Autónoma Metropolitana-Azcapotzalco Departamento de Sistemas México, D. F., México. *rigaeral@correo.azc.uam.mx.
2 Universidad Autónoma Metropolitana-Iztapalapa Departamento de Ingeniería Eléctrica México, D. F., México.
3 Universidad Nacional Autónoma de México Facultad de ingeniería México, D. F., México.
ABSTRACT
]]> Redistricting is the redrawing of the boundaries of legislative districts for electoral purposes in such a way that the generated districts fulfill federal and state requirements such as contiguity, population equality and compactness. In this paper we solve the problem by means of a single objective and a multiobjective simulated annealing algorithm. These algorithms were applied in two real examples in Mexico. The results show that the performance of the multiobjective approach is better, leading to higher quality zones.Keywords: redistricting, simulated annealing, mutiobjective.
RESUMEN
La distritación consiste en modificar los límites de zonas electorales de tal forma que se cumplan los requerimientos federales y estatales tales como conexidad, compacidad y equilibrio poblacional. En este trabajo se utiliza un algoritmo basado en recocido simulado y un algoritmo multiobjetivo basado en recocido simulado para diseñar zonas con dichas características. Ambos algoritmos fueron aplicados a dos estados de México. Los resultados muestran que la técnica multiobjetivo es superior, obteniéndose soluciones de mayor calidad.
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