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The repository contains a Python implementation of Ant Colony Optimization (ACO) algorithms for optimizing routes for electric vehicles, considering specific time windows and recharging needs. This technique is a machine learning approach within the smart city framework, enhancing urban mobility efficiency and sustainable traffic management, thereby improving urban living through intelligent technology use.
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