Detail publikace
COMBINATION OF A PARTICLE SWARM OPTIMIZATION AND NELDER-MEAD ALGORITHM IN A DIFFUSER SHAPE OPTIMIZATION
MORAVEC, P. RUDOLF, P.
Anglický název
COMBINATION OF A PARTICLE SWARM OPTIMIZATION AND NELDER-MEAD ALGORITHM IN A DIFFUSER SHAPE OPTIMIZATION
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
This work focuses on the optimization of a hydraulic turbine diffuser, which is located behind the runner of the swirl turbine. Present paper extends our work in shape optimization using direct methods (namely Nelder-Mead method) and stochastic methods (namely Particle swarm optimization) coupled with CFD simulations. Both methods have their own advantages and disadvantages. Present work focuses on combination of particle swarm optimization (at the beginning of the algorithm) and Nelder-Mead algorithm (at the end of the algorithm). Diffuser will serve as the test case to demonstrate efficient coupling of the mathematical optimization procedure and CFD simulation. The main goal of this test problem is set to maximize coefficient of pressure recovery cp, which is the main parameter to judge the proper design of the draft tube. Results obtained with this new method will be discussed and their advantages/disadvantages summarized.
Anglický abstrakt
This work focuses on the optimization of a hydraulic turbine diffuser, which is located behind the runner of the swirl turbine. Present paper extends our work in shape optimization using direct methods (namely Nelder-Mead method) and stochastic methods (namely Particle swarm optimization) coupled with CFD simulations. Both methods have their own advantages and disadvantages. Present work focuses on combination of particle swarm optimization (at the beginning of the algorithm) and Nelder-Mead algorithm (at the end of the algorithm). Diffuser will serve as the test case to demonstrate efficient coupling of the mathematical optimization procedure and CFD simulation. The main goal of this test problem is set to maximize coefficient of pressure recovery cp, which is the main parameter to judge the proper design of the draft tube. Results obtained with this new method will be discussed and their advantages/disadvantages summarized.
Klíčová slova anglicky
Particle swarm optimization (PSO); Nelder-Mead; CFD; shape optimization; diffuser
Vydáno
27.02.2018
Nakladatel
Springer Singapore
Místo
Singapore
ISBN
978-981-10-7217-8
Kniha
Advances in Hydroinformatics
Strany od–do
997–1012
Počet stran
6
BIBTEX
@inproceedings{BUT142317,
author="Prokop {Moravec} and Pavel {Rudolf},
title="COMBINATION OF A PARTICLE SWARM OPTIMIZATION AND NELDER-MEAD ALGORITHM IN A DIFFUSER SHAPE OPTIMIZATION",
booktitle="Advances in Hydroinformatics",
year="2018",
month="February",
pages="997--1012",
publisher="Springer Singapore",
address="Singapore",
isbn="978-981-10-7217-8"
}