ASTRO-MFDF adaptively selects sample sizes and fidelity levels in a multi-fidelity stochastic trust-region method, showing faster convergence than ASTRO-DF and Nelder-Mead on Rosenbrock and inventory problems.
Improved multi-fidelity simulation-based optimisa- tion: application in a digital twin shop floor,
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Multi-Fidelity Stochastic Trust Region Method with Adaptive Sampling
ASTRO-MFDF adaptively selects sample sizes and fidelity levels in a multi-fidelity stochastic trust-region method, showing faster convergence than ASTRO-DF and Nelder-Mead on Rosenbrock and inventory problems.