Customizing Pareto Simulated Annealing for multi-objective optimization of control cabinet layout
Authors:
- Sabri Pllana,
- Suejb Memeti,
- Joanna Kolodziej
Abstract
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.
- Record ID
- CUT737fb929d1b64cad80fb04a6066065a8
- Publication categories
- ; ;
- Author
- Pages
- 78-85
- Other elements of collation
- fot.; rys.; tab.; wykr.; Bibliografia (na s.) - 84; Bibliografia (liczba pozycji) - 23; Oznaczenie streszczenia - Abstr.
- Book
- 2019 22nd International Conference on Control Systems and Computer Science : CSCS 2019, 28–30 May 2019, Bucharest, Romania : proceedings, International Conference on Control Systems and Computer Science, 2019, [S.l.], Institute of Electrical and Electronics Engineers, IEEE, ISBN 978-1-7281-2331-8
- Keywords in English
- control cabinet assembly, multi-objective optimization, Pareto Simulated Annealing (PSA), Simulated Annealing (SA)
- DOI
- DOI:10.1109/CSCS.2019.00021 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/document/8745108 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT737fb929d1b64cad80fb04a6066065a8/
- URN
urn:pkr-prod:CUT737fb929d1b64cad80fb04a6066065a8
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.