Petter Pilesjö
Professor
An improved non-dominated sorting biogeography-based optimization algorithm for multi-objective land-use allocation: a case study in Kigali-Rwanda
Author
Summary, in English
Department/s
- Dept of Physical Geography and Ecosystem Science
- MECW: The Middle East in the Contemporary World
- BECC: Biodiversity and Ecosystem services in a Changing Climate
- Centre for Geographical Information Systems (GIS Centre)
- Centre for Advanced Middle Eastern Studies (CMES)
Publishing year
2024
Language
English
Pages
968-982
Publication/Series
Geo-Spatial Information Science
Volume
27
Issue
4
Document type
Journal article
Publisher
Taylor & Francis
Topic
- Environmental Sciences
- Earth and Related Environmental Sciences
- Environmental Analysis and Construction Information Technology
Keywords
- Multi-objective land-use allocation
- Spatial optimization
- Sustainable urban planning
- None-dominated Sorting Biogeography-based Optimization (NSBBO) algorithm
- Operational research
- Geospatial Artificial Intelligence (GeoAI)
- Artificial Intelligence (AI)
Status
Published
ISBN/ISSN/Other
- ISSN: 1009-5020