16 citations · 16 across the 1 of their papers we have counts for
2 papers
math.OC2022★ 16 cited
Analytical Benchmark Problems for Multifidelity Optimization Methods
L. Mainini, A. Serani, M. P. Rumpfkeil +11
The paper presents a collection of analytical benchmark problems specifically selected to provide a set of stress tests for the assessment of multifidelity optimization methods. In…
cs.LG2020
Resource Aware Multifidelity Active Learning for Efficient Optimization
Francesco Grassi, Giorgio Manganini, Michele Garraffa +1
Traditional methods for black box optimization require a considerable number of evaluations which can be time consuming, unpractical, and often unfeasible for many engineering appl…