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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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Pubblicato in:Journal of Computer & Systems Sciences International vol. 52, no. 3 (May 2013), p. 410
Autore principale: Aleksandrov, A V
Altri autori: Kazakov, S V, Sergushichev, A A, Tsarev, F N, Shalyto, A A
Pubblicazione:
Springer Nature B.V.
Soggetti:
Computer programming
Computer science
Control systems
Analysis
Studies
Automation
Aircraft
Unmanned aerial vehicles
Simulation
Design
Computers
Genetic algorithms
Accesso online:Citation/Abstract
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Abstract: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
Fonte:ABI/INFORM Global