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Avtomatika i Telemekhanika, 2011, Issue 11, Pages 117–129
(Mi at2864)
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This article is cited in 12 scientific papers (total in 12 papers)
Deterministic Systems
An application of genetic algorithms with binary and real coding for approximate synthesis of suboptimal control in deterministic systems
A. V. Panteleev, D. V. Metlitskaya Moscow Aviation Institute, Moscow, Russia
Abstract:
We propose a solution for the suboptimal control synthesis problem in deterministic systems with genetic algorithms that look for a conditional global extremum with binary and real coding. We construct an algorithm for solving this problem; this algorithm has been implemented in software. We show examples of specific applications and perform a comparison of these results with other methods; the comparison proves the efficiency of our algorithms.
Citation:
A. V. Panteleev, D. V. Metlitskaya, “An application of genetic algorithms with binary and real coding for approximate synthesis of suboptimal control in deterministic systems”, Avtomat. i Telemekh., 2011, no. 11, 117–129; Autom. Remote Control, 72:11 (2011), 2328–2338
Linking options:
https://www.mathnet.ru/eng/at2864 https://www.mathnet.ru/eng/at/y2011/i11/p117
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Statistics & downloads: |
Abstract page: | 567 | Full-text PDF : | 480 | References: | 39 | First page: | 29 |
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