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Multi-objective constructive cooperative coevolutionary optimization of robotic press-line tending
University West, Department of Engineering Science, Division of Production System. (PTW)ORCID iD: 0000-0002-0044-2795
University West, Department of Engineering Science, Division of Production System. (PTW)ORCID iD: 0000-0002-8878-2718
University West, Department of Engineering Science, Division of Production System. (PTW)ORCID iD: 0000-0002-6604-6904
University West, Department of Engineering Science, Division of Production System. Department of Signals and Systems, Chalmers University of Technology,Gothenburg, Sweden. (PTW)
2016 (English)In: Engineering optimization (Print), ISSN 0305-215X, E-ISSN 1029-0273, 1-19 p.Article in journal (Refereed) Epub ahead of print
Abstract [en]

This article investigates multi-objective optimization of the robot trajectories and position-based operation-coordination of complex multi-robot systems, such as press lines, to improve the production rate and obtaining smooth motions to avoid excessive wear of the robots’ components. Different functions for handling the multiple objectives are evaluated on realworld press lines, including both scalarizing single-objective functions and Pareto-based multi-objective functions. Additionally, the Multi-Objective Constructive Cooperative Coevolutionary (moC3) algorithm is proposed, for Pareto-based optimization, which uses a novel constructive initialization of the subpopulations in a co-adaptive fashion. It was found that Paretobased optimization performs better than the scalarizing single-objective functions. Furthermore, moC3 gives substantially better results compared to manual online tuning, as currently used in the industry. Optimizing robot trajectories and operation-coordination of complex multi-robot systems using the proposed method with moC3 significantly improves productivity and reduces maintenance. This article hereby addresses the lack of systematic methods for effectively improving the productivity of press lines.

Place, publisher, year, edition, pages
Taylor & Francis, 2016. 1-19 p.
Keyword [en]
Multi-objective optimization, coevolutionary optimization, press tending, multi-robot coordination
National Category
Production Engineering, Human Work Science and Ergonomics Robotics
Research subject
ENGINEERING, Manufacturing and materials engineering; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-10341DOI: 10.1080/0305215X.2016.1264220ScopusID: 2-s2.0-85006124128OAI: oai:DiVA.org:hv-10341DiVA: diva2:1057898
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Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2017-01-11Bibliographically approved

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Glorieux, EmileSvensson, BoDanielsson, FredrikLennartson, Bengt
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Engineering optimization (Print)
Production Engineering, Human Work Science and ErgonomicsRobotics

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