Coarse-grained parallel genetic algorithm applied to a vector based land use allocation optimization problem: The case study of Tongzhou Newtown, Beijing, China

• Main Authors: CAO, Kai, YE, Xinyue
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Land use allocation optimization; CGPGA–MOLU; Goal programming; Tongzhou Newtown; Beijing; China; Asian Studies; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/5406; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6409&context=sis_research
• Institution: Singapore Management University

A Coarse-Grained Parallel Genetic Algorithm (CGPGA) is utilized to search for near-optimal solutions for land use allocation optimization problems in the context of multiple objectives and constraints. Plans are obtained based on the trade-off among three spatial objectives including ecological bene...