Title :
Multi-region electoral districting using computational geometry
Author :
Maw-Kae Hor ; Kai-Hsuan Chan ; Yi-Fan Peng ; Hung-Min Hsu
Author_Institution :
Sch. of Inf., Kainan Univ., Taoyuan, Taiwan
Abstract :
Electoral Districting has received much attention recently due to electoral regulations changes. Traditionally, these process were done manually which generally require huge human resources and may introduce controversies. We have developed the two-partitioning algorithm that solved the simple electoral districting problems intelligently. However, this algorithm can not be used directly to solve the multi-region electoral districting problems. In this paper, we present a new computational geometry based two-partitioning algorithm and use it to solve the multi-region electoral districting problems through recursively applying of this algorithm. The problem of huge amount of feasible solutions can be reduced substantially by introducing the concept of "indivisible region". Using this concept, the new partitioning algorithm, and the simple bricklayer method, we developed a mechanism for solving the multi-region districting problems. We choose a local city to illustrate the entire mechanism. The experimental results show that our mechanism solves the multi-region electoral districting problems successfully.
Keywords :
computational geometry; local government; politics; computational geometry; electoral regulation; local city; multiregion electoral districting; two-partitioning algorithm; Abstracts; Cities and towns; Geometry; Irrigation; Sociology; Statistics; Artificial intelligence; computational geometry; dynamic programming; electoral districting; geographical information system;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890774