Spatially-Explicit Simulation of Urban Growth through Self-Adaptive Genetic Algorithm and Cellular Automata Modelling
This paper presents a method to optimise the calibration of parameters and land use transition rules of a cellular automata (CA) urban growth model using a self-adaptive genetic algorithm (SAGA). Optimal calibration is achieved through an algorithm that minimises the difference between the simulated...
Main Authors: | Yan Liu, Yongjiu Feng, Robert Gilmore Pontius |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2014-07-01
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Series: | Land |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-445X/3/3/719 |
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