Utilizing grid computing technique for numerically efficient global optimization of electromagnetic devices

Author

Song, Minho ; Pham, Minh-Trien ; Yoon, Heesung ; Koh, Chang Seop

Author_Institution

Sch. of Electr. Eng., Chungbuk Nat. Univ., Cheongju, South Korea

fYear

2010

fDate

9-12 May 2010

Firstpage

1

Lastpage

1

Abstract

A new numerically efficient global optimization algorithm utilizing grid computing technique and surrogate objective function (SOF) is developed. The algorithm combines particles swarm optimization (PSO) with a SOF constructed by using Multi-quadric radial basis function. For the computation of the objective function values for sampling points, grid computing technique is adopted employing the same number of personal computers connected to Internet with that of the sampling points.

Keywords

Internet; electromagnetic devices; grid computing; optimisation; radial basis function networks; Internet; electromagnetic devices; global optimization; grid computing; multi-quadric radial basis function; particle swarm optimization; surrogate objective function; Electromagnetic devices; Grid computing; Internet; Mesh generation; Microcomputers; Particle swarm optimization; Response surface methodology; Sampling methods; Web server; XML;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4244-7059-4

Type

conf

DOI

10.1109/CEFC.2010.5481077

Filename

5481077