The present paper discusses a technique, based on the combined use of Radial Basis Functions, which provide an analytical approximation of the true cost function, and self adaptive fuzzy sets, which allow a flexible combination of conflicting objectives, for the stochastic optimisation of multiminima problems. The proposed technique is fully described, its features of interest for industrial level design optimisation are outlined and some initial positive results are presented.
A combined approach for the stochastic optimization of multiminima problems using adaptive fuzzy sets and radial basis functions
NERVI, MARIO;
1998-01-01
Abstract
The present paper discusses a technique, based on the combined use of Radial Basis Functions, which provide an analytical approximation of the true cost function, and self adaptive fuzzy sets, which allow a flexible combination of conflicting objectives, for the stochastic optimisation of multiminima problems. The proposed technique is fully described, its features of interest for industrial level design optimisation are outlined and some initial positive results are presented.
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