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ASME Open Journal of Engineering
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Multi-Objective Optimization of an Axial Flow Turbine Design Using Surrogate Modeling and Genetic Algorithm
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A surrogate model-based multi-objective design optimization methodology using a nondominated sorting genetic algorithm is used to maximize the power output and efficiency of an axial flow turbine. A set of high-fidelity ...