Application of a particle swarm optimization for shape optimization in hydraulic machinery

Application of a particle swarm optimization for shape optimization in hydraulic machinery

A study of shape optimization has become increasingly popular in academia and industry. A typical problem is to find an optimal shape, which minimizes (or maximizes) a certain cost function and satisfies given constraints. Particle Swarm Optimization (PSO) has received a lot of attention in past yea...

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Main Authors: Moravec Prokop, Rudolf Pavel
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201714302076
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spelling doaj-612c5d0c864a424fac597f4f53695ef52021-08-02T07:00:27ZengEDP SciencesEPJ Web of Conferences2100-014X2017-01-011430207610.1051/epjconf/201714302076epjconf_efm2017_02076Application of a particle swarm optimization for shape optimization in hydraulic machineryMoravec Prokop0Rudolf Pavel1Viktor Kaplan Dept. of Fluid Engineering, Faculty of Mechanical Engineering, Brno University of TechnologyViktor Kaplan Dept. of Fluid Engineering, Faculty of Mechanical Engineering, Brno University of TechnologyA study of shape optimization has become increasingly popular in academia and industry. A typical problem is to find an optimal shape, which minimizes (or maximizes) a certain cost function and satisfies given constraints. Particle Swarm Optimization (PSO) has received a lot of attention in past years and is inspired by social behaviour of some animals such as flocking behaviour of birds. This paper focuses on a possibility of a diffuser shape optimization using particle swarm optimization (PSO), which is coupled with CFD simulation. Influence of main parameters of PSO-algorithm and later diffuser shapes obtained with this method are discussed and advantages/disadvantages summarized.https://doi.org/10.1051/epjconf/201714302076
collection DOAJ
language English
format Article
sources DOAJ
author Moravec Prokop
Rudolf Pavel
spellingShingle Moravec Prokop
Rudolf Pavel
Application of a particle swarm optimization for shape optimization in hydraulic machinery
EPJ Web of Conferences
author_facet Moravec Prokop
Rudolf Pavel
author_sort Moravec Prokop
title Application of a particle swarm optimization for shape optimization in hydraulic machinery
title_short Application of a particle swarm optimization for shape optimization in hydraulic machinery
title_full Application of a particle swarm optimization for shape optimization in hydraulic machinery
title_fullStr Application of a particle swarm optimization for shape optimization in hydraulic machinery
title_full_unstemmed Application of a particle swarm optimization for shape optimization in hydraulic machinery
title_sort application of a particle swarm optimization for shape optimization in hydraulic machinery
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2017-01-01
description A study of shape optimization has become increasingly popular in academia and industry. A typical problem is to find an optimal shape, which minimizes (or maximizes) a certain cost function and satisfies given constraints. Particle Swarm Optimization (PSO) has received a lot of attention in past years and is inspired by social behaviour of some animals such as flocking behaviour of birds. This paper focuses on a possibility of a diffuser shape optimization using particle swarm optimization (PSO), which is coupled with CFD simulation. Influence of main parameters of PSO-algorithm and later diffuser shapes obtained with this method are discussed and advantages/disadvantages summarized.
url https://doi.org/10.1051/epjconf/201714302076
work_keys_str_mv AT moravecprokop applicationofaparticleswarmoptimizationforshapeoptimizationinhydraulicmachinery
AT rudolfpavel applicationofaparticleswarmoptimizationforshapeoptimizationinhydraulicmachinery
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