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Automatic Plant-Controller Input/Output Matching using Evolutionary Algorithms
ITMO Univ, Comp Technol Lab, St Petersburg, Russia Aalto Univ, Dept Elect Engn & Automat, Espoo, Finland.
ITMO Univ, Comp Technol Lab, St Petersburg, Russia.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science. Department of Electrical Engineering and Automation, Aalto University, Helsinki .ORCID iD: 0000-0002-9315-9920
2018 (English)In: 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), Piscataway, NJ: IEEE, 2018, p. 1043-1046Conference paper, Published paper (Refereed)
Abstract [en]

Automation of software development is an actively researched problem. Search-based software engineering aims to apply various search-based techniques to software engineering problems. Recently we proposed the method for automatic generation of function block application using evolutionary algorithms and model checking and applied it to the problem of automatic generation of data connections in distributed control system. The aim of this paper is to further study this method on the problem of matching of input and output connections in a closed-loop plant-controller system. The computed fitness function distribution shows that the evaluated method successfully determines the correct input and output connections between the controller and the plant. Additionally, we evaluate how the composition of specification requirements in the fitness function affects the performance of the (1+1) evolutionary algorithm. We show that additional liveness formulas can improve the performance of the algorithm, while the introduction of safety formulas significantly decreases it

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018. p. 1043-1046
Series
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA, ISSN 1946-0740
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-72542DOI: 10.1109/ETFA.2018.8502546ISI: 000449334500131Scopus ID: 2-s2.0-85057224537ISBN: 978-1-5386-7108-5 (print)OAI: oai:DiVA.org:ltu-72542DiVA, id: diva2:1278401
Conference
23rd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2018) Politecnico Torino,Italy , Sep 04-07, 2018
Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved

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Vyatkin, Valeriy

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  • apa
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