A probabilistic framework with the gradient-based method for multi-objective land use optimization-Reference-Cited by-同舟云学术

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A probabilistic framework with the gradient-based method for multi-objective land use optimization

Published:2023-03-27 Issue:5 Volume:37 Page:1128-1156
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Luo Haowen¹^ORCID,Huang Bo¹²³^ORCID

Affiliation:

1. Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong

2. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong

3. Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China

Funder

Hong Kong Research Grants Council

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2023.2178001

Reference48 articles.

1. Using Linear Integer Programming for Multi-Site Land-Use Allocation

2. Using simulated annealing for resource allocation

3. Optimization

4. Linear Convergence of Comparison-based Step-size Adaptive Randomized Search via Stability of Markov Chains

5. Multiobjective Urban Planning Using Genetic Algorithm

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incorporating historical information into the multi-type ant colony optimization model to optimize patch-level land use allocation;Sustainable Cities and Society;2024-07

2. Optimization of land use planning under multi-objective demand—the case of Changchun City, China;Environmental Science and Pollution Research;2024-01-08

3. A Land Use Planning Literature Review: Literature Path, Planning Contexts, Optimization Methods, and Bibliometric Methods;Land;2023-10-27

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