A fuzzy genetic algorithm for automatic channel assignment for tactical HF radio networks

An innovative method for automatically allocating channels to groups of tactical HF radio nets is described. The method finds an optimal channel assignment that provides good propagation for each net, as determined by propagation prediction models, while avoiding channel interference. The method solves this difficult optimization problem using a genetic algorithm coupled with a set of goodness criteria that evaluate channel assignments using fuzzy logic. The method finds channel assignments similar to those created by expert human system designers.