Skip to Main content Skip to Navigation
Reports

A Two-Level Parallelization Strategy for Genetic Algorithms Applied to Shape Optimum Design

N. Marco 1 Stephane Lanteri
1 SINUS - Numerical Simulation for the Engineering Sciences
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : This report presents a two-level strategy for the parallelization of a genetic algorithm coupled to a compressible flow solver designed on unstructured triangular meshes. The parallel implementation is based on MPI and makes use of the process group features of this environment. The resulting algorithm is used for the optimum shape design of aerodynamic configurations. Numerical and performance results are presented for the optimization of two-dimensional airfoils for calulations performed on the following systems : a SGI Origin 2000 and a IBM SP-2 MIMD systems; a Pentium Pro (P6/200 Mhz) cluster where the interconnection is realized through a FastEthernet (100 Mbits/s) switch.
Document type :
Reports
Complete list of metadata

Cited literature [1 references]  Display  Hide  Download

https://hal.inria.fr/inria-00073227
Contributor : Rapport de Recherche Inria <>
Submitted on : Wednesday, May 24, 2006 - 12:15:46 PM
Last modification on : Saturday, January 27, 2018 - 1:31:10 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:04:18 PM

Identifiers

  • HAL Id : inria-00073227, version 1

Collections

Citation

N. Marco, Stephane Lanteri. A Two-Level Parallelization Strategy for Genetic Algorithms Applied to Shape Optimum Design. RR-3463, INRIA. 1998. ⟨inria-00073227⟩

Share

Metrics

Record views

199

Files downloads

169