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Optimization of Component Placement within a Control Cabinet using Simulated Annealing
Linnaeus University, Faculty of Technology, Department of Computer Science.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

We aim to prove whether if Simulated Annealing algorithm and Pareto Simulated Annealing are suitable for handle cabinet’s component placement optimization problem and which parameters (e.g. start temperature, optimization objective) for SA and PSA are most appropriate for this problem. The objectives are to minimize total wire length and heat level of placement. We present prototype programs, which automatically generates optimal component placement for customized cabinets with extracted component and wire information from a .csv file. Then test these programs with different parameters to determine which is most suitable. The search space could be ridiculously large, that is why the cost function for the single objective is optimized using SA, and optimization of multi-objective cost function uses PSA. We demonstrate the usefulness of our approach with a set of examples. To the best of our knowledge, this is the first attempt to address the multi-objective optimization of component placement within a control cabinet.

Place, publisher, year, edition, pages
2017. , 49 p.
Keyword [en]
Control cabinet, multi-objective optimization, component placement, simulated annealing
National Category
Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-67346OAI: oai:DiVA.org:lnu-67346DiVA: diva2:1135066
External cooperation
Yaskawa
Educational program
Software Technology Programme, 180 credits
Supervisors
Examiners
Projects
Optimization of the automated assembly of customized control cabinets
Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2017-08-22Bibliographically approved

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  • apa
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