naa a22 4500 510809820 CHVBK 20180411083437.0 cr unu---uuuuu 180411e20130501xx s 000 0 eng 10.1134/S1064230713020020 doi (NATIONALLICENCE)springer-10.1134/S1064230713020020 The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior [Elektronische Daten] [A. Aleksandrov, S. Kazakov, A. Sergushichev, F. Tsarev, A. Shalyto] It is proposed to use evolutionary programming to generate finite state machines (FSMs) for controlling objects with complex behavior. The well-know approach in which the FSM performance is evaluated by simulation, which is typically time consuming, is replaced with comparison of the object's behavior controlled by the FSM with the behavior of this object controlled by a human. A feature of the proposed approach is that it makes it possible to deal with objects that have not only discrete but also continuous parameters. The use of this approach is illustrated by designing an FSM controlling a model aircraft executing a loop-the-loop maneuver. Pleiades Publishing, Ltd., 2013 Aleksandrov A. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut Kazakov S. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut Sergushichev A. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut Tsarev F. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut Shalyto A. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut Journal of Computer and Systems Sciences International SP MAIK Nauka/Interperiodica 52/3(2013-05-01), 410-425 1064-2307 52:3<410 2013 52 11488 https://doi.org/10.1134/S1064230713020020 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1134/S1064230713020020 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Aleksandrov A. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Kazakov S. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Sergushichev A. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Tsarev F. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Shalyto A. St. Petersburg National Research University of Information Technologies, Mechanics, Optics, and Automation, St. Petersburg, Russia aut NATIONALLICENCE 773 0- Journal of Computer and Systems Sciences International SP MAIK Nauka/Interperiodica 52/3(2013-05-01), 410-425 1064-2307 52:3<410 2013 52 11488 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer