Sustainable land use optimization using Boundary-based Fast Genetic Algorithm

Sustainable land use optimization using Boundary-based Fast Genetic Algorithm

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/5407
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6410&context=sis_research

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