4 papers · 1 filter
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions
Mickael Binois, Jeffrey Larson
We develop and analyze a method for stochastic simulation optimization based on Gaussian process models within a trust-region framework. We focus on settings where the variance of…
Non-Locally Controllable but Trackable Magnetic Head Flagellated Swimmer
Lucas Palazzolo, Mickaël Binois, Laëtitia Giraldi
Unlike macroscopic swimmers, microswimmers operate in a low-Reynolds-number regime dominated by viscous forces. This paper investigates the controllability of a magnetic microswimm…
Parametric Shape Optimization of Flagellated Micro-Swimmers Using Bayesian Techniques
Lucas Palazzolo, Laëtitia Giraldi, Mickael Binois +1
Understanding and optimizing the design of helical micro-swimmers is crucial for advancing their application in various fields. This study presents an innovative approach combining…
Gearing Gaussian process modeling and sequential design towards stochastic simulators
Mickael Binois, Arindam Fadikar, Abby Stevens
This chapter presents specific aspects of Gaussian process modeling in the presence of complex noise. Starting from the standard homoscedastic model, various generalizations from t…