Publication detail

COMBINATION OF A PARTICLE SWARM OPTIMIZATION AND NELDER-MEAD ALGORITHM IN A DIFFUSER SHAPE OPTIMIZATION

MORAVEC, P. RUDOLF, P.

English title

COMBINATION OF A PARTICLE SWARM OPTIMIZATION AND NELDER-MEAD ALGORITHM IN A DIFFUSER SHAPE OPTIMIZATION

Type

conference paper

Language

en

Original abstract

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.

English abstract

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.

Keywords in English

Particle swarm optimization (PSO); Nelder-Mead; CFD; shape optimization; diffuser

Released

27.02.2018

Publisher

Springer Singapore

Location

Singapore

ISBN

978-981-10-7217-8

Book

Advances in Hydroinformatics

Pages from–to

997–1012

Pages count

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"
}