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Multiobjective optimization of mixed variable design problems
Linköping University, Department of Mechanical Engineering, Machine Design. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
2001 (English)In: Evolutionary Multi-Criterion Optimization First International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings / [ed] Eckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos Artemio Coello Coello and David Corne, Springer Berlin/Heidelberg, 2001, Vol. 1993, 624-638 p.Chapter in book (Refereed)
Abstract [en]

In this paper, a new multiobjective genetic algorithm is employed to support the design of a hydraulic actuation system. First, the proposed method is tested using benchmarks problems gathered from the literature. The method performs well and it is capable of identifying multiple Pareto frontiers in multimodal function spaces. Secondly, the method is applied to a mixed variable design problem where a hydraulic actuation system is analyzed using simulation models. The design problem constitutes of a mixture of determining continuous variables as well as selecting components from catalogs. The multi-objective optimization results in a discrete Pareto front, which illustrate the trade-off between system cost and system performance.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2001. Vol. 1993, 624-638 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 1993
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-48170DOI: 10.1007/3-540-44719-9_44ISBN: 3-540-41745-1ISBN: 978-3-540-41745-3ISBN: 978-3-540-44719-1OAI: diva2:269066
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2013-12-20Bibliographically approved

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