A spatially explicit evolutionary algorithm for the spatial partitioning problem-Reference-Cited by-同舟云学术

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A spatially explicit evolutionary algorithm for the spatial partitioning problem

Published:2020-05 Issue: Volume:90 Page:106129
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Liu Yan Y.^ORCID,Cho Wendy K. Tam^ORCID

Funder

US Department of Energy

Publisher

Elsevier BV

Subject

Software

Reference62 articles.

1. A unified conceptual framework for geographical optimization using evolutionary algorithms;Xiao;Ann. Assoc. Amer. Geographers,2008

2. Spatial optimization in geography;Tong;Ann. Assoc. Amer. Geographers,2012

3. Der isolierte staat;Von Thunen,1842

4. Multi-type, multi-zone facility location;Heyns;Geogr. Anal.,2018

5. Locational modeling in spatial analysis: Development and maturity of concepts;OKelly,2018

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1. Revisiting spatial optimization in the era of geospatial big data and GeoAI;International Journal of Applied Earth Observation and Geoinformation;2024-05

2. Locating Public Facilities: Theory and Micro Evidence from Paris;Journal of Urban Economics;2023-05

3. A parallel evolutionary multiple-try metropolis Markov chain Monte Carlo algorithm for sampling spatial partitions;Statistics and Computing;2021-01

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