The use of evolutionary programming based on training examples for the generation of finite state machines for controlling objects with complex behavior

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Опубликовано в::	Journal of Computer & Systems Sciences International vol. 52, no. 3 (May 2013), p. 410
Главный автор:	Aleksandrov, A V
Другие авторы:	Kazakov, S V, Sergushichev, A A, Tsarev, F N, Shalyto, A A
Опубликовано:	Springer Nature B.V.
Предметы:	Computer programming Computer science Control systems Analysis Studies Automation Aircraft Unmanned aerial vehicles Simulation Design Computers Genetic algorithms
Online-ссылка:	Citation/Abstract Full Text Full Text - PDF
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Краткий обзор:	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.[PUBLICATION ABSTRACT]
ISSN:	1064-2307 1555-6530 0013-788X 0882-4002
DOI:	10.1134/S1064230713020020
Источник:	ABI/INFORM Global