calculate_distance(city_a, city_b): Calcula a distância entre duas cidades. update_pheromone(): Atualiza o feromônio depositado pelas formigas. choose_next_city(ant, current_city): Escolhe a próxima ...

Thus, the ant colony optimization (ACO) algorithm was born. Think like an ant. The ACO is a technique in computer science and operations research designed to solve complex optimization problems.

Ant Colony Optimization (ACO) is a metaheuristic algorithm inspired by the foraging behavior of ants. Introduced by Marco Dorigo in the early 1990s, ACO has become a popular method for solving ...

Learn how ant colony optimization algorithms use artificial ants and pheromones to find the best combination of elements from a finite set of options. Agree & Join LinkedIn ...

Regarding the ant colony optimization applied to laminated composites, Aymerich and Serra [3] presented the maximization of buckling load using ACO; in Abachizadeh and Tahani [1] a multi-objective ...

Based on the facts that Ant Colony Optimization (ACO) has good performance in solving combinatorial optimization problems with multi objectives, the ACO algorithm with MAX-MIN and Rankbased Ant System ...

M. Dorigo, G. D. Caro, and L. M. Gambardella, “Ant algorithms for discrete optimization,” Massachusetts Institute of Technology, Artificial Life 5, pp. 137–172, 1999. ... ABSTRACT: Ant colony ...

Based on the facts that Ant Colony Optimization (ACO) has good performance in solving combinatorial optimization problems with multi objectives, the ACO algorithm with MAX-MIN and Rankbased Ant System ...