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An adaptive ant colony algorithm is proposed to overcome the premature convergence problem in the conventional ant colony algorithm. The adaptive ant colony is composed of three groups of ants: ordinary ants, abnormal ants and random ants. Each ordinary ant searches the path with the high concentration pheromone at the high probability, each abnormal ant searches the path with the high concentration...
As a new general-purpose heuristic algorithm, Ant Colony Optimization Algorithm(ACO) has been applied to combinatorial optimization problems. The main characteristics of ACO are positive feedback, distributed computation and the use of constructive greedy heuristic. This paper presents the principle and the hierarchy model of the ACO with small-perturbation. This algorithm is applied to the optimization...
As a new model of intelligent computing, ant colony optimization (ACO) is a great success on combinatorial optimization problems, however, but research is relatively less in solving problems on continuous space optimization. Based on the mechanism and mathematical model of ant colony algorithm, mutation operation is introduced. The global and local updating rules of ant colony algorithm are improved...
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