Genetic Programming Meets Linear Algebra: How Genetic Programming Can Be Used to Find Improved Iterative Numerical Methods

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Mahmoodabadi:2017:GECCO,

• author = "Reza Gholami Mahmoodabadi and Harald Koestler",
• title = "Genetic Programming Meets Linear Algebra: How Genetic Programming Can Be Used to Find Improved Iterative Numerical Methods",
• booktitle = "Proceedings of the Genetic and Evolutionary Computation Conference Companion",
• series = "GECCO '17",
• year = "2017",
• isbn13 = "978-1-4503-4939-0",
• address = "Berlin, Germany",
• pages = "1403--1406",
• size = "4 pages",
• URL = "http://doi.acm.org/10.1145/3067695.3082502",
• DOI = "doi:10.1145/3067695.3082502",
• acmid = "3082502",
• publisher = "ACM",
• publisher_address = "New York, NY, USA",
• keywords = "genetic algorithms, genetic programming, iterative solvers, sparse linear algebra",
• month = "15-19 " # jul,
• abstract = "Iterative schemes play central role in solving large scale simulations in science and engineering. Development of such methods over the past few hundreds of years faces inevitable difficulty of manual design. Herein, we report, for the first time, iterative schemes that are automatically evolved by genetic programming (GP) and outperform the well-known iterative methods. To cope with the diversity of the systems of linear equations, the proposed technique is applied on a sparse system in 1D and 2D domains and on a non-sparse asymmetric system. Our proof-of-principle experiments demonstrate GP evolved schemes that converge up to 4 times faster than the conventional Gauss-Seidel scheme. Our work paves the way towards automatic design of efficient iterative solvers for large scale systems of linear equations.",
• notes = "Also known as \cite{Mahmoodabadi:2017:GPM:3067695.3082502} GECCO-2017 A Recombination of the 26th International Conference on Genetic Algorithms (ICGA-2017) and the 22nd Annual Genetic Programming Conference (GP-2017)",

}

Genetic Programming entries for Reza Gholami Mahmoodabadi Harald Koestler

Citations