Redistricting in Mexico

Miguel Ángel Gutiérrez-Andrade (), Eric Alfredo Rincón-García (), Sergio Gerardo de-los-Cobos-Silva (), Antonin Ponsich (), Roman Anselmo Mora-Gutiérrez () and Pedro Lara-Velázquez ()
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Miguel Ángel Gutiérrez-Andrade: Universidad Autónoma Metropolitana Iztapalapa
Eric Alfredo Rincón-García: Universidad Autónoma Metropolitana Azcapotzalco
Sergio Gerardo de-los-Cobos-Silva: Universidad Autónoma Metropolitana Iztapalapa
Antonin Ponsich: Universidad Autónoma Metropolitana Azcapotzalco
Roman Anselmo Mora-Gutiérrez: Universidad Autónoma Metropolitana Azcapotzalco
Pedro Lara-Velázquez: Universidad Autónoma Metropolitana Iztapalapa

A chapter in Operations Research Proceedings 2016, 2018, pp 301-306 from Springer

Abstract: Abstract Redistricting is the redrawing of the boundaries of legislative districts for electoral purposes in such a way that Federal or state requirements are fulfilled. In 2015 the National Electoral Institute of Mexico carried out the redistricting process of 15 states using a nonlinear programming model where population equality and compactness were considered as conflicting objective functions, whereas other criteria, such as contiguity, were included as constraints. In order to find high quality redistricting plans in acceptable amounts of time, two automated redistricting algorithms were designed: a Simulated Annealing based algorithm, and an Artificial Bee Colony inspired algorithm. Computational results prove that the population based technique is more robust than its counterpart for this kind of problems.

Keywords: National Electoral Institute; Parent Population; Legislative Districts; Nonlinear Programming Model; Electoral Purposes (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-55702-1_40

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