Results 241 to 250 of about 73,328 (265)
Some of the next articles are maybe not open access.
Noisy multiobjective black-box optimization using bayesian optimization
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019Expensive black-box problems are usually optimized by Bayesian Optimization (BO) since it can reduce evaluation costs via cheaper surrogates. The most popular model used in Bayesian Optimization is the Gaussian process (GP) whose posterior is based on a joint GP prior built by initial observations, so the posterior is also a Gaussian process ...
Hongyan Wang +4 more
openaire +1 more source
Black-box optimization in a configuration system
Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume B, 2022Maximilian Kucher +2 more
openaire +1 more source
B2Opt: Learning to Optimize Black-box Optimization with Little Budget
Proceedings of the AAAI Conference on Artificial IntelligenceThe core challenge of high-dimensional and expensive black-box optimization (BBO) is how to obtain better performance faster with little function evaluation cost. The essence of the problem is how to design an efficient optimization strategy tailored to the target task.
Xiaobin Li +3 more
openaire +1 more source
FFT-Based Approximations for Black-Box Optimization
2023 IEEE Statistical Signal Processing Workshop (SSP), 2023Madison Lee +2 more
openaire +1 more source
SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints
Information Sciences, 2022Lorenzo Sabug +2 more
exaly
NeuralBO: A black-box optimization algorithm using deep neural networks
Neurocomputing, 2023Dat Phan-Trong, Sunil Gupta
exaly
Strategy Optimization for Range Gate Pull-Off Track-Deception Jamming Under Black-Box Circumstance
IEEE Transactions on Aerospace and Electronic Systems, 2023Yuanhang Wang +2 more
exaly
Surrogate‐based methods for black‐box optimization
International Transactions in Operational Research, 2017Claudia D’Ambrosio, Leo Liberti
exaly