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An application of genetic algorithms with binary and real coding for approximate synthesis of suboptimal control in deterministic systems

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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.

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Authors and Affiliations

  1. Moscow Aviation Institute, Moscow, Russia

    A. V. Panteleev & D. V. Metlitskaya

Authors
  1. A. V. Panteleev
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  2. D. V. Metlitskaya
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Original Russian Text © A.V. Panteleev, D.V. Metlitskaya, 2011, published in Avtomatika i Telemekhanika, 2011, No. 11, pp. 117–129.

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Panteleev, A.V., Metlitskaya, D.V. An application of genetic algorithms with binary and real coding for approximate synthesis of suboptimal control in deterministic systems. Autom Remote Control 72, 2328–2338 (2011). https://doi.org/10.1134/S0005117911110075

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  • DOI: https://doi.org/10.1134/S0005117911110075

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