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Adaptive Design of Experiments for Automotive Engine Applications Using Concurrent Bayesian Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Most practical automotive problems require the design of experiments (DoEs) over a number of different operating conditions to deliver optimal calibration parameters. DoE is especially crucial for automotive engine calibration ...
Multi-Objective Surrogate-Assisted Stochastic Optimization for Engine Calibration
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A surrogate-assisted optimization approach is an attractive way to reduce the total computational budget for obtaining optimal solutions. This makes it special for its application to practical optimization problems requiring ...
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