Genetic breeding of control parameters for the Hopfield/Tank neural net

The authors show how genetic algorithms may be used in conjunction with the Hopfield/Tank neural net by breeding an effective set of control parameters in the parameter sub-space to be used by the artificial neural network. They briefly consider the standard Hopfield/Tank neural net followed by a discussion of the genetic algorithm used with this network. Some of the more important operators used with the genetic algorithm are discussed, and the use of this hybrid neural net on two sets of traveling salesman problems of different sizes is illustrated