A Parallel Distributed Learning Automaton Computing Model for Function Optimization Problems

Abstract

We propose a learning automaton computing method (LACM) with a genetic algorithm (GA) for the multi-variable function optimization problems and complete a distributed parallel implementation. The simulation results show that LACM has better computing accuracy and higher convergence property than other tradi-tional methods.