NDLI: Genetic algorithm for regionalization problem with adaptive equity constraint

Content Provider	IEEE Xplore Digital Library
Author	Linqing Wang Jun Zhao Wei Wang Zili Zhan
Copyright Year	2015
Description	Author affiliation: Dalian Seasky Autom. Co. Ltd., Dalian, China (Zili Zhan) \|\| Sch. of Control Sci. & Eng., Dalian Univ. of Technol., Dalian, China (Linqing Wang; Jun Zhao; Wei Wang)
Abstract	The regionalization problem involves aggregating several spatially contiguous basic geographical units into regions while optimizing a defined objective. Equity is one of its most important constraints with the aim to ensure the value of one or several interesting spatial attributes at a certain level and to provide solutions to specific requirements in applications. This paper tackles a new regionalization scenario in which the threshold used in equity constraint is a regional mean measurement and depends on an unknown amount of regions. A novel nonlinear mixed integer programming model is developed. For the solution of the model a parallel genetic algorithm capable of solving large-scale, real-world instances, is designed. Our efforts in designing a genetic algorithm that integrates an upper bound heuristic are reported. A group of 30 synthetic lattice data is generated according to the spatial auto regressive function to evaluate the proposed genetic algorithm. Equity attributes with both Uniform distribution and Poisson distribution are considered to make a comparison. This work makes an original contribution in the solution of the regionalization problem with adaptive equity constraint.
Starting Page	1
Ending Page	6
File Size	384376
Page Count	6
File Format	PDF
ISBN	9781479978625
DOI	10.1109/ASCC.2015.7244475
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-31
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	genetic algorithm Upper bound adaptive equity constraint Sociology Linear programming Partitioning algorithms regionalization problem Statistics Genetic algorithms Convergence
Content Type	Text
Resource Type	Article

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