ARCHETTI FRANCESCO ANTONIO

Ruolo:

Professore Emerito

E-mail:

Telefono:

0264487855
0264482186

Stanza:

U14, Piano: P02, Stanza: 2044
Viale Sarca, 336 - 20126 MILANO

U9, Piano: I, Stanza: R071
Viale dell'Innovazione, 10 - 20126 MILANO

Candelieri, A., Perego, R., & Archetti, F. (2021). Green machine learning via augmented Gaussian processes and multi-information source optimization. SOFT COMPUTING, 25, 12591-12603 [10.1007/s00500-021-05684-7]. Dettaglio
Ponti, A., Candelieri, A., & Archetti, F. (2021). A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement. INTELLIGENT SYSTEMS WITH APPLICATIONS, 10-11(July–September 2021) [10.1016/j.iswa.2021.200047]. Dettaglio
Candelieri, A., & Archetti, F. (2021). Sparsifying to optimize over multiple information sources: an augmented Gaussian process based algorithm. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 64(1), 239-255 [10.1007/s00158-021-02882-7]. Dettaglio
Ponti, A., Candelieri, A., Giordani, I., & Archetti, F. (2021). A novel graph‐based vulnerability metric in urban network infrastructures: The case of water distribution networks. WATER, 13(11) [10.3390/w13111502]. Dettaglio
Ponti, A., Candelieri, A., & Archetti, F. (2021). A new evolutionary approach to optimal sensor placement in water distribution networks. WATER, 13(12) [10.3390/w13121625]. Dettaglio

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