Back to Results
First PageMeta Content
Materials science / IOSO / Shape optimization / Robust optimization / Genetic algorithm / Turbine / Design closure / Creep / Stress analysis / Mathematical optimization / Numerical analysis / Mathematical analysis


Document Date: 2003-05-08 02:42:01

Open Document

File Size: 589,62 KB

Share Result on Facebook

City

Jyvaskyla / Moscow / Perth / Boston / Tokyo / Philadelphia / Atlanta / Goettingen / Rio de Janeiro / /

Company

John Wiley & Sons Ltd. / Internal Coolant Networks / MIT Press / /

Country

Germany / Japan / Russia / Brazil / Australia / Finland / /

/

Facility

MPI library / Curtin University / Brian H. Dennis Institute of Environmental Studies Graduate School / Institute of Environmental Studies Graduate School / The University of Texas / University of Tokyo / Frontier Sciences University of Tokyo / /

IndustryTerm

software system / hot gas bulk temperature / blade metal / power optimization algorithms / optimization algorithm / hot gas flow / constrained optimization algorithm / computer processing time / gas convection coefficient / parallel computing resources / genetic algorithm / optimization algorithms / search area / axial gas turbine blades / gas bulk temperature / parallel algorithm / automatic design algorithm / outer hot gas / cooled gas turbine blades / extremum search area / been developed using power optimization algorithms / /

Organization

University of Texas at Arlington / Curtin University / Aerospace Engineering Multidisciplinary Analysis / Inverse Design & Optimization Institute / MIT / University of Tokyo / Self Organization / Graduate School / Brian H. Dennis Institute / Department of Mechanical and Aerospace Engineering Multidisciplinary Analysis / /

Person

J. Periaux / K. Miettinen / P. Neittaanmaki / George S. Dulikravich / M. M. Makela / Helmut Sobieczky / /

/

Position

mathematical model for the obtained point / MPI Design Variables Geometry Generator Interpreter / ACKNOWLEDGMENTS The lead author / /

ProvinceOrState

N. F. / Pennsylvania / Georgia / Massachusetts / /

PublishedMedium

Machine Learning / /

Technology

3-D / IOSO algorithms / 2 Igor N. Egorov IOSO Technology / mathematically based optimization algorithms / Machine Learning / 400 MHz processors / using power optimization algorithms / optimization algorithm / Laser / 4 processors / sufficiently parallel algorithm / Aero / simulation / constrained optimization algorithm / automatic design algorithm / basic parallel IOSO algorithm / /

URL

http /

SocialTag