Surrogate-Assisted Optimization Using Random Forest Prediction Variance for Black-Box 0-1 Integer Programming Problems

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Surrogate-Assisted Optimization Using Random Forest Prediction Variance for Black-Box 0-1 Integer Programming Problems
Συγγραφείς: Ono, Masao, Tatsuoka, Fuminori, Koguma, Yuji, Nakata, Masaya
Πηγή: 2026 SICE Festival with Annual Conference (SICE FES) Festival with Annual Conference (SICE FES), 2026 SICE. :26-31 Sep, 2026
Relation: 2026 SICE Festival with Annual Conference (SICE FES)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9784907764906
9798319500311
DOI:10.23919/SICEFES71276.2026.11739219