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A sophisticated simulation of the Ant Colony Optimization algorithm that employs artificial ants to dynamically navigate a graph, demonstrating emergent pathfinding behaviors through pheromone-based decision-making and iterative exploration strategies.
Comparison of Ant Colony Optimization algorithm and Genetic algorithm for Traveling Salesman Problem, project for Artificial Intelligence course on the 4th semester of CS
This Python package provides implementations of three metaheuristic algorithms to solve the Traveling Salesman Problem (TSP): Steepest Ascent Hill Climbing, Simulated Annealing, and Ant Colony Optimization.