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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.