Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-4583
Authors: Lin, Yusheng
Sun, Zheng
Dadalau, Alexandru
Verl, Alexander
Title: Efficient combination of topology and parameter optimization
Issue Date: 2014
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.source: Open journal of optimization 3 (2014), S. 19-25. URL http://dx.doi.org./10.4236/ojop.2014.33003
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-95405
http://elib.uni-stuttgart.de/handle/11682/4600
http://dx.doi.org/10.18419/opus-4583
Abstract: This paper presents a combination method of Particle Swarm Optimization (PSO) and topology optimization. With this method a better result can be achieved compared with the sequential ap-plication of the two optimization methods. It inherits the ability in finding global optimum from PSO and also suits for discretized design domain. Some special schemes are used in order to provide higher computation efficiency. This method has only been tested with a convex optimization problem. The application in case of a concave problem will be a future study.
Appears in Collections:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

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