Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool

Riley, Mike J. W., Peachey, Tom, Abramson, David and Jenkins, Karl W. (2010). Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool. In: 9Th World Congress On Computational Mechanics and 4Th Asian Pacific Congress On Computational Mechanics. 9th World Congress on Computational Mechanics/4th Asian Pacific Congress on Computational Mechanics, Sydney NSW Australia, (). 19-23 July 2010. doi:10.1088/1757-899X/10/1/012189


Author Riley, Mike J. W.
Peachey, Tom
Abramson, David
Jenkins, Karl W.
Title of paper Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool
Conference name 9th World Congress on Computational Mechanics/4th Asian Pacific Congress on Computational Mechanics
Conference location Sydney NSW Australia
Conference dates 19-23 July 2010
Proceedings title 9Th World Congress On Computational Mechanics and 4Th Asian Pacific Congress On Computational Mechanics   Check publisher's open access policy
Journal name IOP Conference Series: Materials Science and Engineering   Check publisher's open access policy
Place of Publication Bristol, United Kingdom
Publisher Institute of Physics Publishing Ltd.
Publication Year 2010
Year available 2010
Sub-type Fully published paper
DOI 10.1088/1757-899X/10/1/012189
Open Access Status DOI
ISSN 1757-8981
1757-899X
Volume 10
Issue 1
Total pages 10
Language eng
Formatted Abstract/Summary
This paper presents an enhancement of the Nimrod/O optimization tool by interfacing DEMO, an external multiobjective optimization algorithm. DEMO is a variant of differential evolution – an algorithm that has attained much popularity in the research community, and this work represents the first time that true multiobjective optimizations have been performed with Nimrod/O. A modification to the DEMO code enables multiple objectives to be evaluated concurrently. With Nimrod/O's support for parallelism, this can reduce the wall-clock time significantly for compute intensive objective function evaluations. We describe the usage and implementation of the interface and present two optimizations. The first is two-objective mathematical function in which the Pareto front is successfully found after only 30 generations. The second test case is the three-objective shape optimization of a rib-reinforced wall bracket using the Finite Element software, Code_Aster. The interfacing of the already successful packages of Nimrod/O and DEMO yields a solution that we believe can benefit a wide community, both industrial and academic.
Keyword Algorithm
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collection: School of Information Technology and Electrical Engineering Publications
 
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