Optimization of a Novel Urban Growth Simulation Model Integrating an Artificial Fish Swarm Algorithm and Cellular Automata for a Smart City

As one of the 17 Sustainable Development Goals, it is sensible to analysis historical urban land use characteristics and project the potentials of urban sustainable development for a smart city. The cellular automaton (CA) model is the widely applied in simulating urban growth, but the optimum param...

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Veröffentlicht in:	Sustainability 2021-02, Vol.13 (4), p.2338
Hauptverfasser:	Huang, Xinxin, Xu, Gang, Xiao, Fengtao
Format:	Artikel
Sprache:	eng
Schlagworte:	Agricultural land Algorithms Artificial intelligence Economic development Fault tolerance Genetic algorithms Growth models Land use Mutation Neural networks New towns Optimization Planning Security Simulation Smart cities Sustainable development Traffic congestion Urban areas Urban sprawl Urbanization Variables
Online-Zugang:	Volltext
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