Abstract A cooperative artificial immune network model is proposed. Inspired by global particle swarm intelligence, a cooperative artificial immune network, namely gpso-CoAIN, is developed for optimization. Due to the added global swarm cooperative operator, memory cells with particle swarm behavior are capable of sharing search experience. Furthermore, the clone selection procedure with variable step size of the artificial immune network is improved to adapt to fine optimal search. Experimental results of function optimization show that gpso-CoAIN outperforms several algorithms in optimal searching ability and running speed. The dynamic analysis illustrates the good diversity of the memory cells of the gpso-CoAIN network in the network population.
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2009, Vol. 22 
