Electromagnetic Device Optimization using Improved Differential Evolution Methods

Author

Coelho, Leandro Dos Santos ; Alotto, P.

Author_Institution

Production & Syst. Eng. Graduate Program, Pontifical Catholic Univ. of Parana

fYear

0

fDate

0-0 0

Firstpage

295

Lastpage

295

Abstract

Recently, evolutionary algorithms (e.g. genetic algorithms, evolutionary programming, and evolution strategies) have proven to be useful tools for the optimization of difficult problems in electromagnetics. Differential evolution (DE) is one comparatively simple variant of an evolutionary algorithm using floating-point encoding and few control parameters. This work presents improved DE algorithms based on linearly time varying control parameters, sinusoidal functions, and diversity analysis of population

Keywords

electromagnetic devices; evolutionary computation; optimisation; time-varying systems; differential evolution methods; diversity analysis; electromagnetic device optimization; evolutionary algorithm; floating-point encoding; linearly time varying control parameters; sinusoidal functions; Algorithm design and analysis; Convergence of numerical methods; Differential equations; Electromagnetic devices; Encoding; Evolutionary computation; Optimization methods; Testing; USA Councils; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on

Conference_Location

Miami, FL

Print_ISBN

1-4244-0320-0

Type

conf

DOI

10.1109/CEFC-06.2006.1633085

Filename

1633085