Physical Sciences and Mathematics Commons^™

Parameter Optimization Using A Hierarchical System Of Learning Automata, Brian T. Mitchell

Dissertations

Many problems in adaptive control, pattern recognition, filtering, identification, and artificial intelligence can be viewed as parameter optimization problems. The learning automation approach to these problems has two distinct advantages over the classic hill climbing methods: (1) the parameter space need not be metric and (2) a global rather than local optimum can be found. Unfortunately, these advantages do not come without corresponding difficulties, namely the problem of high dimensionality. A hierarchical system of learning automata has been used to reduce this problem somewhat, but inefficiencies still remain since the current hierarchical system was balanced and static hierarchical learning automaton …