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

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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Bibliographic Details
Main Authors: Xinxin Huang, Gang Xu, Fengtao Xiao
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sustainability
Subjects:
an artificial fish swarm algorithm
machine learning
optimization
landscape indicators
scenario simulation
sustainable urban development
Online Access:https://www.mdpi.com/2071-1050/13/4/2338

Internet

https://www.mdpi.com/2071-1050/13/4/2338

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