Sustainable land use optimization using Boundary-based Fast Genetic Algorithm

• Main Authors: CAO, Kai, HUANG, Bo, WANG, Shaowen, LIN, Hui
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Land use optimization; Genetic algorithm; Sustainability; Spatial compactness; Reference point; Tongzhou Newtown; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5407; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6410&context=sis_research
• Institution: Singapore Management University

Under the notion of sustainable development, a heuristic method named as the Boundary-based Fast Genetic Algorithm (BFGA) is developed to search for optimal solutions to a land use allocation problem with multiple objectives and constraints. Plans are obtained based on the trade-off among economic b...