Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...

In algorithms, as in life, negativity can be a drag. Consider the problem of finding the shortest path between two points on a graph — a network of nodes connected by links, or edges. Often, these ...

Graph algorithms constitute a pivotal component of modern computational science, underpinning diverse applications ranging from transportation optimisation and telecommunications to social network ...

This project implements the Ant Colony Optimization (ACO) algorithm for finding the shortest path between two vertices in a weighted graph. The Ant Colony Optimization algorithm is a metaheuristic ...

This project implements and compares several variants of Dijkstra’s shortest path algorithm on large, randomly generated weighted graphs. The goal is to understand how different priority queue designs ...