Automatic generation of function block applications using evolutionary algorithms: Initial explorations

Vladimir Mironovich, Maxim Buzdalov, Valeriy Vyatkin

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

Crynodeb

Automation of software development process has been a concern for a long time. Genetic programming is a well-known technique which uses evolutionary computation to generate or improve a computer program for a specific task without human participation. We consider the method which applies model checking and evolutionary computation towards the automatic generation of function block control applications for industrial automation systems. As a first step, we evaluate the effectiveness of a fitness function based on the number of satisfied computation tree logic formulas in UPPAAL query language for a manually created UPPAAL model. Results show that such fitness function and the (1+1) evolutionary algorithm can be successfully applied to generation of the required data connections in the IEC 61499 function block application.
Iaith wreiddiolSaesneg
TeitlProceedings 2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
CyhoeddwrInstitute of Electrical and Electronics Engineers
Tudalennau700-705
Nifer y tudalennau6
ISBN (Electronig)978-1-5386-0837-1
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 13 Tach 2017
Cyhoeddwyd yn allanolIe
Digwyddiad2017 IEEE 15th International Conference on Industrial Informatics (INDIN) - Emden, Yr Almaen
Hyd: 24 Gorff 201726 Gorff 2017

Cynhadledd

Cynhadledd2017 IEEE 15th International Conference on Industrial Informatics (INDIN)
Gwlad/TiriogaethYr Almaen
DinasEmden
Cyfnod24 Gorff 201726 Gorff 2017

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