Graph Coloring Problem in Graph Theory Research with MATLAB Implementation

MATLAB program for solving graph coloring problems in graph theory research, featuring efficient algorithms and customizable heuristics

Ant Colony Optimization (ACO) for Shortest Path Planning

Ant Colony Optimization (ACO) is a bio-inspired algorithm designed by simulating the shortest-path-seeking behavior of ants searching for food. Typically applied to shortest path problems, ACO has demonstrated significant success in solving the Traveling Salesman Problem (TSP)—a classic optimization challenge in pathfinding. The algorithm has since expanded into various domains including graph coloring, vehicle routing, integrated circuit design, communication networks, and data clustering. In code implementation, ACO utilizes probabilistic rules and pheromone updates to iteratively converge toward optimal solutions.