16 citations · 16 across the 2 of their papers we have counts for
3 papers
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…
A Novel Update Mechanism for Q-Networks Based On Extreme Learning Machines
Callum Wilson, Annalisa Riccardi, Edmondo Minisci
Reinforcement learning is a popular machine learning paradigm which can find near optimal solutions to complex problems. Most often, these procedures involve function approximation…
Approximated Computation of Belief Functions for Robust Design Optimization
Massimiliano Vasile, Edmondo Minisci, Quirien Wijnands
This paper presents some ideas to reduce the computational cost of evidence-based robust design optimization. Evidence Theory crystallizes both the aleatory and epistemic uncertain…