Shape optimisation method based on the surrogate models in the parallel asynchronous environment
[Display omitted] •This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced by the use of the Cornering technique (PASM+C), which selects the best performing designs in the corners of the parametric design space.•The p...
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| Veröffentlicht in: | Applied soft computing Jg. 71; S. 1189 - 1203 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.10.2018
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| ISSN: | 1568-4946, 1872-9681 |
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| Abstract | [Display omitted]
•This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced by the use of the Cornering technique (PASM+C), which selects the best performing designs in the corners of the parametric design space.•The performance and other features of PASM and hybrid PASM+C are compared with variety of popular optimisation methods in the test case of car aerodynamics shape optimisation.•This study provides insight into the wallclock time, fault tolerance and computing resources needed for the minimisation of the objective function, important factors when using cloud-based High Performance Computing (HPC) services.
This paper proposes a new optimisation method, the Parallel Asynchronous Surrogate Model (PASM) method, which is based on the surrogate models approximation and takes advantage of the asynchronous, parallel processing threads. Additionally, it introduces the Cornering technique (PASM+C), which by using values from the corners of the design space provides a rapid drop of the value of the objective function and a significant reduction of the processing time.
An overview and characteristics of the main reference optimisation methods, like Particle Swarm Optimisation PSO and Genetic Algorithm (GA), is presented, together with the results of the computer experiments involving optimisation of the generic car body shape. Significant attention is devoted to the time and computational effort needed for drag minimization by using different optimisation schemes.
Finally, the benefits and limitations of the proposed methods are discussed together with their potential impact on the optimisation process workflow. |
|---|---|
| AbstractList | [Display omitted]
•This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced by the use of the Cornering technique (PASM+C), which selects the best performing designs in the corners of the parametric design space.•The performance and other features of PASM and hybrid PASM+C are compared with variety of popular optimisation methods in the test case of car aerodynamics shape optimisation.•This study provides insight into the wallclock time, fault tolerance and computing resources needed for the minimisation of the objective function, important factors when using cloud-based High Performance Computing (HPC) services.
This paper proposes a new optimisation method, the Parallel Asynchronous Surrogate Model (PASM) method, which is based on the surrogate models approximation and takes advantage of the asynchronous, parallel processing threads. Additionally, it introduces the Cornering technique (PASM+C), which by using values from the corners of the design space provides a rapid drop of the value of the objective function and a significant reduction of the processing time.
An overview and characteristics of the main reference optimisation methods, like Particle Swarm Optimisation PSO and Genetic Algorithm (GA), is presented, together with the results of the computer experiments involving optimisation of the generic car body shape. Significant attention is devoted to the time and computational effort needed for drag minimization by using different optimisation schemes.
Finally, the benefits and limitations of the proposed methods are discussed together with their potential impact on the optimisation process workflow. |
| Author | Rokicki, Jacek Przysowa, Krzysztof Łaniewski-Wołłk, Łukasz |
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| Cites_doi | 10.1115/1.2429697 10.1108/02644400210430190 10.1016/S0167-739X(00)00071-6 10.1016/j.jspi.2004.08.007 10.1007/978-3-540-68942-3_25 10.1016/j.camwa.2015.12.043 10.1016/S0045-7825(00)00201-2 10.1007/s10898-010-9620-y 10.1023/A:1008306431147 10.1007/s00158-002-0277-0 10.1109/ICNN.1995.488968 10.1016/j.compfluid.2011.01.042 10.1007/s00158-016-1432-3 10.1016/j.paerosci.2005.02.001 10.1007/s11081-009-9085-3 10.1016/j.asoc.2017.04.017 10.1515/meceng-2015-0026 10.1007/BF02739235 10.1016/S0263-8231(98)00016-0 10.1007/s10710-009-9090-5 10.1115/GT2007-28204 10.1287/ijoc.1060.0182 10.1016/j.compfluid.2014.02.004 10.1109/WSC.2004.1371308 10.20485/jsaeijae.7.1_1 10.4271/2010-01-0513 10.1007/s10287-008-0080-5 10.2514/1.J050384 10.4271/2011-37-0016 10.1177/0954407015624042 10.1080/03052150108940940 10.1093/comjnl/7.4.308 |
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| Keywords | Cloud computing High performance computing Corners of the optimisation domain Parallel optimisation Car aerodynamics Mixed surrogate models |
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•This paper introduces Parallel Asynchronous Surrogate Model (PASM) method for Engineering Design Optimisation.•The PASM method is enhanced... |
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| SubjectTerms | Car aerodynamics Cloud computing Corners of the optimisation domain High performance computing Mixed surrogate models Parallel optimisation |
| Title | Shape optimisation method based on the surrogate models in the parallel asynchronous environment |
| URI | https://dx.doi.org/10.1016/j.asoc.2018.04.028 |
| Volume | 71 |
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