4 citations · 9 across the 11 of their papers we have counts for
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Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems
Qi Huang, Roy de Winter, Bas van Stein +2
Decades of progress in simulation-based surrogate-assisted optimization and unprecedented growth in computational power have enabled researchers and practitioners to optimize previ…
Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve
Jacob de Nobel, Anna V. Kononova, Jeroen Briaire +2
Performing simulations with a realistic biophysical auditory nerve fiber model can be very time consuming, due to the complex nature of the calculations involved. Here, a surrogate…
Analyzing the Impact of Undersampling on the Benchmarking and Configuration of Evolutionary Algorithms
Diederick Vermetten, Hao Wang, Manuel López-Ibañez +2
The stochastic nature of iterative optimization heuristics leads to inherently noisy performance measurements. Since these measurements are often gathered once and then used repeat…
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
Charles Moussa, Hao Wang, Thomas Bäck +1
As combinatorial optimization is one of the main quantum computing applications, many methods based on parameterized quantum circuits are being developed. In general, a set of para…