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Doijode, P.S. (author), Hickel, S. (author), van Terwisga, T.J.C. (author), Visser, K. (author)
We propose and analyse an optimization method that uses a machine learning approach to solve multi-objective, constrained propeller optimization problems. The method uses an online learning strategy where explainable supervised classifiers learn the location of the Pareto front and advise search strategies. The classifiers are trained with...
journal article 2022
document
Doijode, P.S. (author), Hickel, S. (author), van Terwisga, T.J.C. (author), Visser, K. (author)
This paper introduces a machine learning approach for optimizing propellers. The method aims to improve the computational cost of optimization by reducing the number of evaluations required to find solutions. This is achieved by directing the search towards design clusters with good performance, i.e. high propulsive efficiency and low...
journal article 2022