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

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ID: 247734
2017
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Abstract
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.
Reference Key
prokop2017epjapplication Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Moravec Prokop;Rudolf Pavel
Journal utilitas mathematica
Year 2017
DOI
10.1051/epjconf/201714302076
URL
https://doi.org/10.1051/epjconf/201714302076
Keywords
physics

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