Studies On The Dynamics Of Ant Colony Optimization Algorithms
نویسندگان
چکیده
A deterministic model for Ant Colony Optimization (ACO) algorithms is proposed and used to study the dynamics of ACO. The model is based on the average expected behaviour of ants. The behaviour of ACO algorithms and the model are analysed for certain types of permutation problems. It is shown numerically that decisions of the ants are inuenced in an intriguing way by the properties of the pheromone matrix. This explains why ACO algorithms show a complex dynamic behaviour. Simulations are done to compare the behaviour of the ACO model with the ACO algorithm. The results show that the model describes essential features of the dynamics of ACO algorithms.
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تاریخ انتشار 2002