Application of the population learning algorithm to training feed-forward ANN

The chapter investigates the application of the new metaheuristic called the population learning algorithm (PLA) to training feed-forward artificial neural networks. This chapter introduces the population learning algorithm and proposes several implementations developed with a view to training several benchmark neural networks. The approach is compared with two alternative methods of training: quick propagation and genetic programming. Computer experiments show the high effectiveness and good quality of the suggested approach.