Coupling Urban Cellular Automata With Ant Colony Optimization for Zoning Protected Natural Areas Under a Changing Landscape
International Journal of Geographical Information Science, 25(4): 575-593, 2010
By: Taylor & Francis
https://doi.org/10.1080/13658816.2010.481262
Report a broken linkArtificial Intelligence and Planning
This article proposes a dynamic optimization model for zoning areas under a fast-changing landscape. It uses the ant colony optimization (ACO) method to explore different scenarios and effectively zone for protected natural areas within cities.