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

doi:10.1109/IECON.2016.7793419

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

AAU Energy

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

10 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 language	English
Title of host publication	Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016
Number of pages	7
Publisher	IEEE Press
Publication date	Oct 2016
Pages	475 - 481
ISBN (Electronic)	978-1-5090-3474-1
DOIs	https://doi.org/10.1109/IECON.2016.7793419
Publication status	Published - Oct 2016
Event	42nd 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 2016 → 27 Oct 2016 http://www.iecon2016.org/?jjj=1471434927195 http://www.iecon2016.org/

Conference

Conference	42nd Conference of the Industrial Electronics Society, IECON 2016
Location	Palazzo dei Congressi
Country/Territory	Italy
City	Florence
Period	24/10/2016 → 27/10/2016
Sponsor	IEEE Industrial Electronics Society (IES), Institute of Electrical and Electronics Engineers (IEEE)
Internet address	http://www.iecon2016.org/?jjj=1471434927195 http://www.iecon2016.org/

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@inproceedings{562f16e480044e87bcd4a87c5d9e15f5,

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

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.",

author = "Bech, {Michael M{\o}ller} and Christian N{\o}rg{\aa}rd and Roemer, {Daniel Beck} and Saka Kukkonen",

year = "2016",

month = oct,

doi = "10.1109/IECON.2016.7793419",

language = "English",

pages = "475 -- 481",

booktitle = "Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016",

publisher = "IEEE Press",

note = "42nd Conference of the Industrial Electronics Society, IECON 2016 : 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 ; Conference date: 24-10-2016 Through 27-10-2016",

url = "http://www.iecon2016.org/?jjj=1471434927195, http://www.iecon2016.org/",

}

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 et al.
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 proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A Global Multi-Objective Optimization Tool for Design of Mechatronic Components using Generalized Differential Evolution

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AU - Nørgård, Christian

AU - Roemer, Daniel Beck

AU - Kukkonen, Saka

PY - 2016/10

Y1 - 2016/10

N2 - 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.

AB - 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.

U2 - 10.1109/IECON.2016.7793419

DO - 10.1109/IECON.2016.7793419

M3 - Article in proceeding

SP - 475

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BT - Proceedings of the 42nd Annual Conference of IEEE Industrial Electronics Society, IECON 2016

PB - IEEE Press

T2 - 42nd Conference of the Industrial Electronics Society, IECON 2016

Y2 - 24 October 2016 through 27 October 2016

ER -

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

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