An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda-Reference-Cited by-同舟云学术

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An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda

Published:2022-11-11 Issue: Volume: Page:1-15
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Niyomubyeyi Olive¹²,Veysipanah Mozafar³,Sarwat Sam¹,Pilesjö Petter¹,Mansourian Ali¹⁴^ORCID

Affiliation:

1. Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden

2. Center for Geographic Information System and Remote Sensing, College of Science and Technology, University of Rwanda, Kigali, Rwanda

3. Department of GIS, Survey and Planning, Vellinge kommun, Skåne, Sweden

4. Center for Advanced Middle Eastern Studies, Lund University, Lund, Sweden

Funder

Styrelsen för Internationellt Utvecklingssamarbete

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2022.2127380

Reference50 articles.

1. Evaluating Spatial Design Techniques for Solving Land-use Allocation Problems

2. Using simulated annealing for resource allocation

3. Land-use zoning in fast developing coastal area with ACO model for scenario decision-making

4. The impact of space syntax spatial attributes on urban land use in Muscat: Implications for urban sustainability

5. An improved non-dominated sorting biogeography-based optimization algorithm for the (hybrid) multi-objective flexible job-shop scheduling problem

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1. Optimization of ecological network function and structure by coupling spatial operators and biomimetic intelligent algorithm;Journal of Cleaner Production;2024-08

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

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

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