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

Mike Riley; Thomas Charles Peachey; David Andrew Abramson; Karl Jenkins

doi:10.1088/1757-899X/10/1/012189

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

Mike Riley, Thomas Charles Peachey, David Andrew Abramson, Karl Jenkins

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics
Editors	N Khalili, S Valliappan, Q Li, A Russell
Place of Publication	Bristol UK
Publisher	IOP Publishing
Pages	1 - 10
Number of pages	10
DOIs	https://doi.org/10.1088/1757-899X/10/1/012189
Publication status	Published - 2010
Event	World Congress on Computational Mechanics 2010 - Sydney, Australia, Sydney, Australia Duration: 19 Jul 2010 → 23 Jul 2010

Conference

Conference	World Congress on Computational Mechanics 2010
City	Sydney, Australia
Period	19/07/10 → 23/07/10

Access to Document

10.1088/1757-899X/10/1/012189

Cite this

Riley, M., Peachey, T. C., Abramson, D. A., & Jenkins, K. (2010). Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool. In N. Khalili, S. Valliappan, Q. Li, & A. Russell (Eds.), Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics (pp. 1 - 10). IOP Publishing. https://doi.org/10.1088/1757-899X/10/1/012189

Riley, Mike ; Peachey, Thomas Charles ; Abramson, David Andrew et al. / Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool. Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics. editor / N Khalili ; S Valliappan ; Q Li ; A Russell. Bristol UK : IOP Publishing, 2010. pp. 1 - 10

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

abstract = "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.",

author = "Mike Riley and Peachey, {Thomas Charles} and Abramson, {David Andrew} and Karl Jenkins",

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booktitle = "Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics",

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Riley, M, Peachey, TC, Abramson, DA & Jenkins, K 2010, Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool. in N Khalili, S Valliappan, Q Li & A Russell (eds), Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics. IOP Publishing, Bristol UK, pp. 1 - 10, World Congress on Computational Mechanics 2010, Sydney, Australia, 19/07/10. https://doi.org/10.1088/1757-899X/10/1/012189

Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool. / Riley, Mike; Peachey, Thomas Charles; Abramson, David Andrew et al.
Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics. ed. / N Khalili; S Valliappan; Q Li; A Russell. Bristol UK: IOP Publishing, 2010. p. 1 - 10.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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Riley M, Peachey TC, Abramson DA, Jenkins K. Multi-objective engineering shape optimization using differential evolution interfaced to the Nimrod/O tool. In Khalili N, Valliappan S, Li Q, Russell A, editors, Proceedings of the 9th World Congress on Computational Mechanics and 4th Asian Pacific Congress on Computational Mechanics. Bristol UK: IOP Publishing. 2010. p. 1 - 10 doi: 10.1088/1757-899X/10/1/012189

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

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