Computationally efficient optimisation of elbow-type draft tube using neural network surrogates

Computationally efficient optimisation of elbow-type draft tube using neural network surrogates

This study aims to provide a comprehensive assessment of single-objective and multi-objective optimisation algorithms for the design of an elbow-type draft tube, as well as to introduce a computationally efficient optimisation workflow. The proposed workflow leverages deep neural network surrogates...

Full description

Bibliographic Details
Main Authors: Ante Sikirica, Ivana Lučin, Marta Alvir, Lado Kranjčević, Zoran Čarija
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Alexandria Engineering Journal
Subjects:
Hydropower turbine
Draft tube
Multi-objective optimisation
Surrogate modelling
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S111001682400084X

Internet

http://www.sciencedirect.com/science/article/pii/S111001682400084X

Similar Items