This package provides a Python implementation of the Fractional Vegetation Cover (FVC) algorithm described by Carlson & Ripley (1997). It converts NDVI (Normalized Difference Vegetation Index) data to ...

Abstract: Ant Colony Optimization (ACO) algorithms have proven to be powerful tools for solving path planning problems. Improving the ACO algorithm involves modifying the pheromone update function to ...

The desktop application provides the best experience with zero environment setup required. Simply download and run.

Abstract: This study examined how the Ant Colony Optimization (ACO) algorithm could be used to improve urban route planning, using a simulation based on the classic Traveling Salesman Problem (TSP).