An optimised cellular automata model based on adaptive genetic algorithm for urban growth simulation

Liu, Yan and Feng, Yongjiu (2010). An optimised cellular automata model based on adaptive genetic algorithm for urban growth simulation. In: Eric Guilbert, Brian Lees and Yee Leung, ISPRS. Proceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science. Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, Hong Kong, (45-50). 26-28 May 2010.

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Author Liu, Yan
Feng, Yongjiu
Title of paper An optimised cellular automata model based on adaptive genetic algorithm for urban growth simulation
Conference name Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science
Conference location Hong Kong
Conference dates 26-28 May 2010
Proceedings title ISPRS. Proceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science   Check publisher's open access policy
Place of Publication Hong Kong
Publisher ISPRS Technical Commission II
Publication Year 2010
Sub-type Fully published paper
Open Access Status File (Publisher version)
ISSN 1682-1750
1682-1777
Editor Eric Guilbert
Brian Lees
Yee Leung
Volume XXXVIII
Issue Part 2
Start page 45
End page 50
Total pages 6
Collection year 2011
Language eng
Formatted Abstract/Summary
This paper presents an improved cellular automata (CA) model optimized using an adaptive genetic algorithm (AGA) to simulate the spatio-temporal process of urban growth. The AGA technique can be used to optimize the transition rules of the CA model defined through conventional methods such as logistic regression approach, resulting in higher simulation efficiency and improved results. Application of the AGA-CA model in Shanghai’s Jiading District, Eastern China demonstrates that the model was able to generate reasonable representation of urban growth even with limited input data in defining its transition rules. The research shows that AGA technique can be integrated within a conventional CA based urban simulation model to improve human understanding on urban dynamics.
Subjects 0406 Physical Geography and Environmental Geoscience
0909 Geomatic Engineering
Keyword Cellular automata (CA) model
Adaptive genetic algorithm (AGA
Spatio-temporal process
AGA-CA model
Q-Index Code EX
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 16 Nov 2010, 14:32:17 EST by Dr Yan Liu on behalf of School of Geography, Planning & Env Management