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International Journal of Geographical Information Science Volume 29, 2015 - Issue 12
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Original Articles

Optimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm

Nan MiAgricultural College, Ningxia University, Yinchuan, ChinaView further author information
,
Jingwei HouSchool of Resources and Environment, Ningxia University, Yinchuan, China;Ningxia Key Laboratory of Intelligent Sensing for Desert Information, Ningxia University, Yinchuan, ChinaCorrespondence[email protected]
View further author information
,
Wenbao MiSchool of Resources and Environment, Ningxia University, Yinchuan, ChinaView further author information
&
Naiping SongKey Laboratory Ministry of Education of Restoration and Rehabilitation for the Degraded Ecosystem in Northwestern China, Ningxia University, Yinchuan, ChinaView further author information
Pages 2174-2193 | Received 14 Dec 2014, Accepted 04 Jul 2015, Published online: 27 Jul 2015

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Vorapong Suppakitpaisarn, Atthaphon Ariyarit & Supanut Chaidee. (2021) A Voronoi-based method for land-use optimization using semidefinite programming and gradient descent algorithm. International Journal of Geographical Information Science 35:5, pages 999-1031.
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Jonas Schwaab, Kalyanmoy Deb, Erik Goodman, Sven Lautenbach, Maarten J. van Strien & Adrienne Grêt-Regamey. (2018) Improving the performance of genetic algorithms for land-use allocation problems. International Journal of Geographical Information Science 32:5, pages 907-930.
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