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EnglishThe present paper discusses a technique, based on the combined use of Radial Basis Functions (RBF), 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.
http://hdl.handle.net/11583/1661095| Titolo: | A combined approach for the stochastic optimisation of multiminima problems using adaptive fuzzy sets and radial basis functions |
| Autori: | |
| Data di pubblicazione: | 1998 |
| Rivista: | |
| Abstract: | The present paper discusses a technique, based on the combined use of Radial Basis Functions (RBF), 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. |
| Digital Object Identifier (DOI): | 10.1109/20.717660 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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|---|---|---|---|---|
| 1661095.pdf | 2. Post-print | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
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