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

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

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...

Full description

Saved in:
Bibliographic Details
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
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/5406
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6409&context=sis_research

Similar Items