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2010 5th International Symposium on Telecommunications
In this article, a new algorithm which is obtained by hybridizing cellular learning automata and artificial fish swarm algorithm (AFSA) is proposed for optimization in continuous and static environments. In the proposed algorithm, each dimension of search space is assigned to one cell of cellular learning automata and in each cell a swarm of artificial fishes are located which have the optimization duty of that specific dimension. In fact, in the proposed algorithm for optimizing D-dimensionaldoi:10.1109/istel.2010.5734156 fatcat:vljer6ccivfvvpevxtxcpn6uda