A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution

Michael Møller Bech, Christian Nørgård, Daniel Beck Roemer, Saka Kukkonen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

9 Citations (Scopus)

Abstract

This paper illustrates how the relatively simple constrained multi-objective optimization algorithm Generalized Differential Evolution 3 (GDE3), can assist with the practical sizing of mechatronic components used in e.g. digital displacement fluid power machinery. The studied bi- and tri-objective problems having 10+ design variables are both highly constrained, nonlinear and non-smooth but nevertheless the algorithm converges to the Pareto-front within a hours of computation (20k function evaluations). Additionally, the robustness and convergence speed of the algorithm are investigated using different optimization control parameter settings and it is concluded that GDE3 is a reliable optimization tool that can assist mechatronic engineers in the design and decision making process.
Original languageEnglish
Title of host publicationProceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016
Number of pages7
PublisherIEEE Press
Publication dateOct 2016
Pages475 - 481
ISBN (Electronic)978-1-5090-3474-1
DOIs
Publication statusPublished - Oct 2016
Event42nd Conference of the Industrial Electronics Society, IECON 2016: 42nd Annual Conference of the IEEE Industrial Electronics Society - Palazzo dei Congressi, Florence, Italy
Duration: 24 Oct 201627 Oct 2016
http://www.iecon2016.org/?jjj=1471434927195
http://www.iecon2016.org/

Conference

Conference42nd Conference of the Industrial Electronics Society, IECON 2016
LocationPalazzo dei Congressi
CountryItaly
CityFlorence
Period24/10/201627/10/2016
SponsorIEEE Industrial Electronics Society (IES), Institute of Electrical and Electronics Engineers (IEEE)
Internet address

Fingerprint

Mechatronics
Global optimization
Multiobjective optimization
Function evaluation
Constrained optimization
Machinery
Decision making
Engineers
Fluids

Cite this

Bech, M. M., Nørgård, C., Roemer, D. B., & Kukkonen, S. (2016). A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution. In Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016 (pp. 475 - 481). IEEE Press. https://doi.org/10.1109/IECON.2016.7793419
Bech, Michael Møller ; Nørgård, Christian ; Roemer, Daniel Beck ; Kukkonen, Saka. / A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution. Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016. IEEE Press, 2016. pp. 475 - 481
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Bech, MM, Nørgård, C, Roemer, DB & Kukkonen, S 2016, A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution. in Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016. IEEE Press, pp. 475 - 481, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24/10/2016. https://doi.org/10.1109/IECON.2016.7793419

A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution. / Bech, Michael Møller; Nørgård, Christian; Roemer, Daniel Beck; Kukkonen, Saka.

Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016. IEEE Press, 2016. p. 475 - 481.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Bech MM, Nørgård C, Roemer DB, Kukkonen S. A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution. In Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016. IEEE Press. 2016. p. 475 - 481 https://doi.org/10.1109/IECON.2016.7793419