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A master thesis from Aalborg University

Optimization of hydraulic shapes with application of CFD, genetic algorithm and meta-modelling

Author(s)

Term

4. term

Education

Publication year

2020

Submitted on

2020-05-30

Pages

58 pages

Abstract

The aim of the project is to evaluate the performance of the genetic algorithm and a specific type of metamodeling (called kriging) in an engineering optimization. An automated environment for the CFD analysis is built and connected with several types of optimization strategies. The key is to find an optimal genetic algorithm’s setup, which means a good trade-off between acquired results and the optimization time. Finally, the performance of several optimization techniques is compared.

Keywords

Documents


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