A COMBINED APPROACH FOR THE STOCHASTIC OPTIMIZATION OF MULTIMINIMA PROBLEMS USING ADAPTIVE FUZZY-SETS AND RADIAL BASIS FUNCTIONS

The present paper discusses a technique, based on the combined use of Radial Basis Functions, which provide an analytical approximation of t he true cost function, and self adaptive fuzzy sets, which allow a fle xible combination of conflicting objectives, for the stochastic optimi sation of multiminima problems, The proposed technique is fully descri bed, its features of interest for industrial level design optimisation are outlined and some initial positive results are presented.