Land use allocation optimization towards sustainable development based on genetic algorithm
An elitist genetic algorithm was used to find Pareto-optimal solutions for land use allocation with multiple objectives and constraints from the concepts of sustainable development. Plans were judged with regard to economic development, the environment and the social equality. A multi-objective fitn...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2009
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/5492 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-6495 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.sis_research-64952020-12-24T02:18:02Z Land use allocation optimization towards sustainable development based on genetic algorithm CAO, Kai HUANG, Bo ZHAO, Qing WANG, Shengxiao An elitist genetic algorithm was used to find Pareto-optimal solutions for land use allocation with multiple objectives and constraints from the concepts of sustainable development. Plans were judged with regard to economic development, the environment and the social equality. A multi-objective fitness function was used. The genetic algorithm offers the possibility of efficiently searching over tens of thousands of plans for a tradeoff sets of non-dominated plans. In this research, the optimization includes not only the general objectives but also the spatial objectives focusing on the compactness, compatibility and accessibility. Further, I demonstrated a real world application of the model to land use allocation optimization in Tongzhou located in the east of Beijing. The results show that GA based land use allocation optimization is a promising and useful method for generating land use alternatives for further consideration in land use allocation decision-making. 2009-08-14T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/5492 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Genetic algorithm Land use allocation optimization Pareto-optimal solutions Sustainable development Databases and Information Systems Theory and Algorithms |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Genetic algorithm Land use allocation optimization Pareto-optimal solutions Sustainable development Databases and Information Systems Theory and Algorithms |
spellingShingle |
Genetic algorithm Land use allocation optimization Pareto-optimal solutions Sustainable development Databases and Information Systems Theory and Algorithms CAO, Kai HUANG, Bo ZHAO, Qing WANG, Shengxiao Land use allocation optimization towards sustainable development based on genetic algorithm |
description |
An elitist genetic algorithm was used to find Pareto-optimal solutions for land use allocation with multiple objectives and constraints from the concepts of sustainable development. Plans were judged with regard to economic development, the environment and the social equality. A multi-objective fitness function was used. The genetic algorithm offers the possibility of efficiently searching over tens of thousands of plans for a tradeoff sets of non-dominated plans. In this research, the optimization includes not only the general objectives but also the spatial objectives focusing on the compactness, compatibility and accessibility. Further, I demonstrated a real world application of the model to land use allocation optimization in Tongzhou located in the east of Beijing. The results show that GA based land use allocation optimization is a promising and useful method for generating land use alternatives for further consideration in land use allocation decision-making. |
format |
text |
author |
CAO, Kai HUANG, Bo ZHAO, Qing WANG, Shengxiao |
author_facet |
CAO, Kai HUANG, Bo ZHAO, Qing WANG, Shengxiao |
author_sort |
CAO, Kai |
title |
Land use allocation optimization towards sustainable development based on genetic algorithm |
title_short |
Land use allocation optimization towards sustainable development based on genetic algorithm |
title_full |
Land use allocation optimization towards sustainable development based on genetic algorithm |
title_fullStr |
Land use allocation optimization towards sustainable development based on genetic algorithm |
title_full_unstemmed |
Land use allocation optimization towards sustainable development based on genetic algorithm |
title_sort |
land use allocation optimization towards sustainable development based on genetic algorithm |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2009 |
url |
https://ink.library.smu.edu.sg/sis_research/5492 |
_version_ |
1712301851842445312 |