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Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Parallel Computing)ORCID iD: 0000-0002-4146-9062
Linköping University, Sweden. (Parallel Computing)
Cracow University of Technology, Polen.
2019 (English)In: 2019 22nd International Conference on Control Systems and Computer Science (CSCS): 28–30 May 2019, Bucharest, Romania, IEEE, 2019, p. 78-85Conference paper, Published paper (Refereed)
Abstract [en]

Determining the optimal location of control cabinet components requires the exploration of a large configuration space. For real-world control cabinets it is impractical to evaluate all possible cabinet configurations. Therefore, we need to apply methods for intelligent exploration of cabinet configuration space that enable to find a near-optimal configuration without evaluation of all possible configurations.In this paper, we describe an approach for multi-objective optimization of control cabinet layout that is based on Pareto Simulated Annealing. Optimization aims at minimizing the total wire length used for interconnection of components and the heat convection within the cabinet. We simulate heat convection to study the warm air flow within the control cabinet and determine the optimal position of components that generate heat during the operation. We evaluate and demonstrate the effectiveness of our approach empirically for various control cabinet sizes and usage scenarios.

Place, publisher, year, edition, pages
IEEE, 2019. p. 78-85
Keywords [en]
Control cabinet assembly, Pareto Simulated Annealing (PSA), Simulated Annealing (SA), multi-objective optimization
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-84780DOI: 10.1109/CSCS.2019.00021Scopus ID: 2-s2.0-85069165353ISBN: 978-1-7281-2331-8 (electronic)ISBN: 978-1-7281-2332-5 (print)OAI: oai:DiVA.org:lnu-84780DiVA, id: diva2:1321692
Conference
22nd International Conference on Control Systems and Computer Science (CSCS), 28–30 May 2019 Bucharest, Romania
Funder
Knowledge Foundation, 20150088Available from: 2019-06-09 Created: 2019-06-09 Last updated: 2019-09-02Bibliographically approved

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Pllana, Sabri

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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