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 link

Artificial 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.