An Improved Heuristic for the Bandwidth Minimization Based on Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{conf/hais/PopM11,

• author = "Petrica C. Pop and Oliviu Matei",
• title = "An Improved Heuristic for the Bandwidth Minimization Based on Genetic Programming",
• booktitle = "Proceedings of the 6th International Conference Hybrid Artificial Intelligent Systems (HAIS 2011) Part {II}",
• year = "2011",
• editor = "Emilio Corchado and Marek Kurzynski and Michal Wozniak",
• volume = "6679",
• series = "Lecture Notes in Computer Science",
• pages = "67--74",
• address = "Wroclaw, Poland",
• month = may # " 23-25",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-642-21221-5",
• DOI = "doi:10.1007/978-3-642-21222-2_9",
• size = "8 page",
• abstract = "In this work we develop an improved heuristic based on genetic programming (GP) for the matrix bandwidth minimisation problem (MBMP). This problem consists in rearranging the rows and columns of a sparse matrix such that the non-zero elements are in a band as close as possible to the main diagonal. We evaluated our heuristic on a set of 25 benchmark instances from the literature and compared with state-of-the-art algorithms. The obtained results are very encouraging and point out that GP is an appropriate method for solving the MBMP.",
• affiliation = "Dept. of Mathematics and Informatics, North University of Baia Mare, Romania",
• bibdate = "2012-03-19",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/hais/hais2011-2.html#PopM11",

}

Genetic Programming entries for Petrica C Pop Oliviu Matei

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