An intelligent algorithm: MACO for continuous optimization models

Abstract

Ant colony optimization algorithm is a metaheuristic approach for the solutions of combinatorial optimization problems. In order to solve continuous optimization models, a new intelligent algorithm (MACO) combining a mutation ant colony optimization algorithm and a simulated annealing method is designed. Experiments and comparison with other metaheuristic methods by some test functions are shown the effectiveness of the proposed algorithm.