The package SPOT_2.5.18.tar.gz has been built for Windows and is published in the corresponding CRAN directory.R version 4.1.2 (2021-11-01). More: … More
Category: Surrogate Models
SPOT 2.5.18 uploaded to CRAN. UPDATE: SPOT 2.5.18 is already on CRAN!
That was quick: package sources of SPOT, the Sequential Parameter Optimization Toolbox, Version 2.5.18, are available on CRAN, see https://cran.r-project.org/web/packages/SPOT/index.html. … More
Working Paper: Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Authors: Thomas Bartz-Beielstein, Frederik Rehbach, Amrita Sen, and Martin ZaeffererCategories: cs.LGMSC-class: 68T07ACM-class: A.1; B.8.0; G.1.6; G.4; I.2.8 A surrogate model … More
Keynote at SAEOpt: Surrogate Model Based Hyperparameter Tuning for Deep Learning with SPOT
Prof. Bartz-Beielstein has been invited as a keynote speaker at the workshop on Surrogate-Assisted Evolutionary Optimisation (SAEOpt) https://saeopt.bitbucket.io/) at GECCO. … More
@GECCO2018 Lorenzo Gentile #utopiae_network: Sequential Parameter Optimization can be used for visualizing main factor effects
Advanced optimization: Using multi-fidelity optimization combined with surrogate-based optimization @GECCO2018
Full House in RWA4 @GECCO2018: Frederik Rehbach talking about parallelized surrogate-based optimization
Meeting with Partners from DLR (Deutsche Zentrum für Luft- und Raumfahrt) @TH_Koeln @utopiae_network
Dr. Stefan Görtz (Deutschen Zentrum für Luft- und Raumfahrt (DLR), Institut für Aerodynamik und Strömungstechnik) and Christian Sabater (Early Stage Researcher in … More
Two Full Papers Accepted @GECCO2018
Our papers “Surrogate assisted optimization of particle reinforced metal matrix composites” (L. Gentile, M. Zaefferer, D. Giugliano, H. Chen, T. … More
New paper: #Optimization via multimodel #simulation published in “Structural and Multidisciplinary Optimization”
An online version of the paper “Optimization via multimodel simulation” (https://doi.org/10.1007/s00158-018-1934-2) written by Thomas Bartz-Beielstein, Martin Zaefferer, and Quoc Cuong … More