Title :
Gene Expression Programming Software Application for High Energy Physics Data Analysis
Author :
Teodorescu, Liliana
Author_Institution :
Brunel Univ., West London
fDate :
Oct. 29 2006-Nov. 1 2006
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;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2006. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0560-2
Electronic_ISBN :
1095-7863
DOI :
10.1109/NSSMIC.2006.356226
