Gene Expression Programming Software Application for High Energy Physics Data Analysis

Author

Teodorescu, Liliana

Author_Institution

Brunel Univ., West London

Volume

1

fYear

2006

fDate

Oct. 29 2006-Nov. 1 2006

Firstpage

599

Lastpage

602

Abstract

Gene Expression Programming is an evolutionary algorithm developed in 2001. For a number of benchmark applications, it is a few order of magnitude more efficient that the better known genetic algorithms and genetic programming. The algorithm was recently successfully tested in particle physics for signal and background classification. The present paper presents a software implementation of this algorithm, adequate for the analysis of particle physics data.

Keywords

data analysis; genetic algorithms; high energy physics instrumentation computing; Gene Expression Programming software; background classification; evolutionary algorithm; genetic algorithms; genetic programming; high energy physics data analysis; particle physics data analysis; signal classification; software implementation; Application software; Biological cells; Computational modeling; Data analysis; Evolutionary computation; Gene expression; Genetic algorithms; Genetic programming; Software algorithms; Tail; evolutionary algorithms; gene expression programming; software applications;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium Conference Record, 2006. IEEE

Conference_Location

San Diego, CA

ISSN

1095-7863

Print_ISBN

1-4244-0560-2

Electronic_ISBN

1095-7863

Type

conf

DOI

10.1109/NSSMIC.2006.356226

Filename

4179065