Gene Expression Programming Algorithm for Transient Security Classification

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Abdelaziz:2012:SEMCCO,

• author = "Almoataz Y. Abdelaziz and S. F. Mekhamer and H. M. Khattab and M. L. A. Badr and Bijaya Ketan Panigrahi",
• title = "Gene Expression Programming Algorithm for Transient Security Classification",
• booktitle = "Proceedings of the Third International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2012",
• year = "2012",
• editor = "Bijaya Ketan Panigrahi and Swagatam Das and Ponnuthurai Nagaratnam Suganthan and Pradipta Kumar Nanda",
• volume = "7677",
• series = "Lecture Notes in Computer Science",
• pages = "406--416",
• address = "Bhubaneswar, India",
• month = dec # " 20-22",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, gene expression programming",
• isbn13 = "978-3-642-35379-6",
• DOI = "doi:10.1007/978-3-642-35380-2_48",
• bibsource = "OAI-PMH server at works.bepress.com",
• oai = "oai:works.bepress.com:almoataz_abdelaziz-1083",
• URL = "http://works.bepress.com/almoataz_abdelaziz/42",
• size = "11 pages",
• abstract = "In this paper, a gene expression programming (GEP) based algorithm is implemented for power system transient security classification. The GEP algorithms as evolutionary algorithms for pattern classification have recently received attention for classification problems because they can perform global searches. The proposed methodology applies the GEP for the first time in transient security assessment and classification problems of power systems. The proposed algorithm is examined using different IEEE standard test systems. Power system three phase short circuit contingency has been used to test the proposed algorithm. The algorithm checks the static security status of the power system then classifies the transient security of the power system as secure or not secure. Performance of the algorithm is compared with other neural network based classification algorithms to show its superiority for transient security classification.",

}

Genetic Programming entries for Almoataz Y Abdelaziz Said Fouad Mohamed Mekhiemar H M Khattab Mohamed Abd Ellatif Ahmed Badr Bijaya Ketan Panigrahi

Citations