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A Systematic Approach for the Selection of Optimization Algorithms including End-User Requirements Applied to Box-Type Boom Crane Design

1
Design Automation, V-Research GmbH, Stadtstr. 33, 6850 Dornbirn, Austria
2
Heuristic and Evolutionary Algorithms Laboratory, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg im Mühlkreis, Austria
3
Josef Ressel Center for Applied Scientific Computing, Vorarlberg University of Applied Sciences, Hochschulstraße 1, 6850 Dornbirn, Austria
4
Technology Management, Liebherr-Werk Nenzing GmbH, Dr.-Hans-Liebherr-Str. 1, 6710 Nenzing, Austria
*
Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2019, 2(3), 20; https://doi.org/10.3390/asi2030020
Received: 14 June 2019 / Revised: 6 July 2019 / Accepted: 8 July 2019 / Published: 10 July 2019
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Abstract

In engineering design, optimization methods are frequently used to improve the initial design of a product. However, the selection of an appropriate method is challenging since many methods exist, especially for the case of simulation-based optimization. This paper proposes a systematic procedure to support this selection process. Building upon quality function deployment, end-user and design use case requirements can be systematically taken into account via a decision matrix. The design and construction of the decision matrix are explained in detail. The proposed procedure is validated by two engineering optimization problems arising within the design of box-type boom cranes. For each problem, the problem statement and the respectively applied optimization methods are explained in detail. The results obtained by optimization validate the use of optimization approaches within the design process. The application of the decision matrix shows the successful incorporation of customer requirements to the algorithm selection. View Full-Text
Keywords: optimization; algorithm selection; engineering design optimization; algorithm selection; engineering design
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Entner, D.; Fleck, P.; Vosgien, T.; Münzer, C.; Finck, S.; Prante, T.; Schwarz, M. A Systematic Approach for the Selection of Optimization Algorithms including End-User Requirements Applied to Box-Type Boom Crane Design. Appl. Syst. Innov. 2019, 2, 20.

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