Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II

Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II

A spatial multi-objective land use optimization model defined by the acronym 'NSGA-II-MOLU' or the 'non-dominated sorting genetic algorithm-II for multi-objective optimization of land use' is proposed for searching for optimal land use scenarios which embrace multiple objectives...

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Bibliographic Details
Main Authors: CAO, Kai, BATTY, Michael, HUANG, Bo, LIU, Yan, YU, Le, CHEN, Jiongfeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2011
Subjects:
spatial land use optimization
NSGA-II-MOLU
planning support systems
land use planning
multi-objective optimization
Tongzhou New Town
China
Databases and Information Systems
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/5411
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6414&context=sis_research
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5411
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6414&context=sis_research

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