Sistema de visión artificial para la optimización por algoritmo de colonia de hormigas de trayectorias de taladrado de circuitos impresos (PCB) a partir de procesamiento digital de imágenes

Abstract

This paper develops a bioinspirated algorithm in ant colonies, using as a base its behavior and guidance system in the optimization of displacements, for the improvement of trajectories of perforation systems in printed circuits. Through the MATLAB software, lines of code are implemented based on the ability of the ants to choose the shortest path through the release of pheromones. The code defines a constant that simulates a number of ants in a path, a number of pheromones that are released and different reactions taken by the ant, thus defining the best trajectory to follow. As a result, the greater the number of ants, the greater the number of pheromones and, consequently, the better the result when choosing the path of least trajectory. The relevance of implementing a code based on an ant colony system is based on the reduction of time spent in establishing coordinates (manually) in a drilling program, as well as its route to follow.