An improved Genetic Algorithm for spatial optimization of multi-objective and multi-site land use allocation-Reference-Cited by-同舟云学术

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An improved Genetic Algorithm for spatial optimization of multi-objective and multi-site land use allocation

Published:2016-09 Issue: Volume:59 Page:184-194
ISSN:0198-9715
Container-title:Computers, Environment and Urban Systems
language:en
Short-container-title:Computers, Environment and Urban Systems

Author:

Li Xin,Parrott Lael^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Natural Science Foundation of China

Foundation Research Project of Jiangsu Province

Publisher

Elsevier BV

Subject

Urban Studies,General Environmental Science,Ecological Modeling,Geography, Planning and Development

Reference53 articles.

1. Using simulated annealing for resource allocation;Aerts;International Journal of Geographical Information Science,2002

2. Using linear integer programming for multi-site land-use allocation;Aerts;Geographical Analysis,2003

3. Evaluating spatial design techniques for solving land-use allocation problems;Aerts;Journal of Environmental Planning and Management,2005

4. Spatial decision support for collaborative land use planning workshops;Arciniegas;Landscape and Urban Planning,2012

5. Urban land use planning;Berke,2006

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