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Multiobjective Genetic Algorithms for Reinforcing Equal Population in Congressional Districts
المؤلفون المشاركون
de-los-Cobos-Silva, Sergio Gerardo
Gutiérrez-Andrade, Miguel Ángel
Mora-Gutiérrez, Roman Anselmo
Lara-Velázquez, Pedro
Rincón-García, Eric Alfredo
Lara-Caballero, Alejandro
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-10-01
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Redistricting is the process of partitioning a set of basic units into a given number of larger groups for electoral purposes.
These groups must follow federal and state requirements to enhance fairness and minimize the impact of manipulating boundaries for political gain.
In redistricting tasks, one of the most important criteria is equal population.
As a matter of fact, redistricting plans can be rejected when the population deviation exceeds predefined limits.
In the literature, there are several methods to balance population among districts.
However, further discussion is needed to assess the effectiveness of these strategies.
In this paper, we considered two different strategies, mean deviation and overall range.
Additionally, a compactness measure is included to design well-shaped districts.
In order to provide a wide set of redistricting plans that achieve good trade-offs between mean deviation, overall range, and compactness, we propose four multiobjective metaheuristic algorithms based on NSGA-II and SPEA-II.
The proposed strategies were applied in California, Texas, and New York.
Numerical results show that the proposed multiobjective approach can be a very valuable tool in any real redistricting process.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lara-Caballero, Alejandro& de-los-Cobos-Silva, Sergio Gerardo& Mora-Gutiérrez, Roman Anselmo& Rincón-García, Eric Alfredo& Gutiérrez-Andrade, Miguel Ángel& Lara-Velázquez, Pedro. 2019. Multiobjective Genetic Algorithms for Reinforcing Equal Population in Congressional Districts. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194909
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lara-Caballero, Alejandro…[et al.]. Multiobjective Genetic Algorithms for Reinforcing Equal Population in Congressional Districts. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1194909
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lara-Caballero, Alejandro& de-los-Cobos-Silva, Sergio Gerardo& Mora-Gutiérrez, Roman Anselmo& Rincón-García, Eric Alfredo& Gutiérrez-Andrade, Miguel Ángel& Lara-Velázquez, Pedro. Multiobjective Genetic Algorithms for Reinforcing Equal Population in Congressional Districts. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194909
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194909
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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