Supervised Learning Using a Genetic Algorithm

A new type of genetic algorithm for the training of neural networks is presented. The difficulty of obtaining a nearly globally optimal set of weights in a reasonable time is overcome by using a global optimization method. It maintains a set of points at every iteration and permits a parallel search of the global minimum.