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Diskretnyi Analiz i Issledovanie Operatsii, 2010, Volume 17, Issue 4, Pages 3–17
(Mi da614)
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This article is cited in 2 scientific papers (total in 2 papers)
A fully polynomial randomized approximation scheme based on an evolutionary algorithm
A. V. Eremeev Omsk Branch of S. L. Sobolev Institute of Mathematics, SB RAS, Omsk, Russia
Abstract:
A fully polynomial randomized approximation scheme is proposed on the basis of an evolutionary algorithm for discrete optimization problems satisfying the conditions of existense of fully polynomial randomized approximation schemes due to Woeginger. Bibliogr. 24.
Keywords:
evolutionary algorithm, approximation solution, approximation scheme, dynamic programming, randomization.
Received: 05.11.2009 Revised: 11.02.2010
Citation:
A. V. Eremeev, “A fully polynomial randomized approximation scheme based on an evolutionary algorithm”, Diskretn. Anal. Issled. Oper., 17:4 (2010), 3–17; J. Appl. Industr. Math., 5:3 (2011), 322–330
Linking options:
https://www.mathnet.ru/eng/da614 https://www.mathnet.ru/eng/da/v17/i4/p3
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| Statistics & downloads: |
| Abstract page: | 345 | | Full-text PDF : | 140 | | References: | 73 | | First page: | 3 |
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