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Optimisation of Interacting Production Stations using a Constructive Cooperative Coevolutionary Approach
University West, Department of Engineering Science, Division of Automation Systems. (PTW)ORCID iD: 0000-0002-0044-2795
University West, Department of Engineering Science, Division of Automation Systems. (PTW)ORCID iD: 0000-0002-6604-6904
University West, Department of Engineering Science, Division of Automation Systems. (PTW)ORCID iD: 0000-0002-8878-2718
Chalmers University of Technology, Department of Signals and Systems.
2014 (English)In: Proceedings of 2014 IEEE International Conference on Automation Science and Engineering (CASE), IEEE conference proceedings, 2014, 322-327 p.Conference paper, Published paper (Refereed)
Abstract [en]

Simulation-based optimisation carries the burden of computationally expensive fitness calculations. It is very often used to tackle large-scale optimisation problems with a relatively high level of complexity. Therefore, it is of interest to have optimisation techniques dedicated to simulation-based optimisation. This paper proposes a simulation-based optimisation approach, called Constructive Cooperative Coevolutionary (C3) search procedure, to optimise the control of interacting production stations. An optimisation algorithm is embedded in the C3 search procedure to optimise subproblems separately. It includes a novel constructive heuristic that creates a feasible solution for the considered problem efficiently. It also incorporates an extended version of the existing cooperative coevolutionary method that can handle large-scale optimisation problems. Furthermore, this paper presents a case study considering a sheet metal press line as an example of interacting production stations. In this case study, the performance of the proposedC3 search procedure is evaluated and compared with other optimisation algorithms. This shows that the C3 search procedure is able to successfully optimise the press line within a given number of fitness calculations, outperforming existing algorithms. Also, it is shown that C3 can be embedded with either stochastic or deterministic optimisation algorithms, without sacrificing performance.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 322-327 p.
Keyword [en]
Manufacturing automation, robotics and control
National Category
Engineering and Technology
Research subject
ENGINEERING, Mechatronics
Identifiers
URN: urn:nbn:se:hv:diva-6712DOI: 10.1109/CoASE.2014.6899345Scopus ID: 2-s2.0-84939256483ISBN: 978-1-4799-5283-0 (print)ISBN: 978-1-4799-5282-3 (print)OAI: oai:DiVA.org:hv-6712DiVA: diva2:753962
Conference
2014 IEEE International Conference on Automation Science and Engineering, CASE 2014; Taipei; Taiwan; 18 August 2014 through 22 August 2014
Available from: 2014-10-09 Created: 2014-09-26 Last updated: 2017-01-03Bibliographically approved
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Glorieux, EmileDanielsson, FredrikSvensson, Bo

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