K. Najim et As. Poznyak, MULTIMODAL SEARCHING TECHNIQUE BASED ON LEARNING AUTOMATA WITH CONTINUOUS INPUT AND CHANGING NUMBER OF ACTIONS, IEEE transactions on systems, man and cybernetics. Part B. Cybernetics, 26(4), 1996, pp. 666-673
Citations number
18
Categorie Soggetti
Controlo Theory & Cybernetics","Computer Science Cybernetics","Robotics & Automatic Control
This paper describes a multimodal searching technique based on a stoch
astic automaton, The environment where the automaton operates correspo
nds to the function to be optimized which is assumed to be unknown fun
ction of a single parameter x. The admissible region of x is quantized
into N subsets, The environment response is continuous (S-model). The
complete set of actions of the automaton is divided into nonempty sub
sets, The action set is changing from instant to instant and is select
ed based on a probability distribution, These actions are in turn asso
ciated with the discrete values of the parameter x. Convergence and co
nvergence rate results are presented, Simulation results illustrate th
e performance of this searching technique.