Ant Colony Optimization (ACO) is a metaheuristic inspired by real-world ant behavior, where ants communicate via pheromone trails to find optimal paths. Introduced by Marco Dorigo in the 1990s, ACO ...

This project implements a flexible framework for solving optimization problems using swarm intelligence algorithms, specifically Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO).

Abstract: Ant colony optimization (ACO) is a random search algorithm based on probability calculation. However, the uninformed search strategy has a slow convergence speed. The Bayesian algorithm uses ...

Transportation networks have always been used with the goal of making it easy to move goods from one location to another using the most effective means available. During the last few decades, the ...

Abstract: Aiming at the special needs of the covering operation of the coating floor paint robot, an improved ACO algorithm using the repetition rate as the optimization evaluation index is proposed ...