Multi-Objective Generic Algorithm (MOGA) is a popular and viable optimization calculation scheme for many practical engineering problems. This is because MOGA provides reliable search results covering wide and multi-variable design spaces. Most importantly when an optimization problem involves using mixed design variables, i.e. continuous and discrete variables, MOGA is still applicable. However, in such a condition MOGA needs to be programmed in a binary mode, which requires a minimum number of bits to represent each real and integer design variable. The accuracy of the prediction of the optimization calculation is expected to depend on the number of bits used. This paper introduces such a problem based on a general turbomachinery design problem. The design variables of the centrifugal impeller design consist of discrete and continuous variables. Some puzzling behavior occurred when the optimization calculation was carried out, related to the prediction accuracy when applying different number of bits to represent the continuous and discrete design variables. It is found that the accuracy is independent of the number of binary bits used. Detailed analyses were performed using simplified analytic formulations for the objective functions to determine why the calculated results show such a behavior. In addition, objective functions are developed and verified that do not show this behavior.
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ASME 2013 Fluids Engineering Division Summer Meeting
July 7–11, 2013
Incline Village, Nevada, USA
Conference Sponsors:
- Fluids Engineering Division
ISBN:
978-0-7918-5554-6
PROCEEDINGS PAPER
Mysterious Behavior of Optimization Calculation With MOGA
Yu-Tai Lee
Yu-Tai Lee
Naval Surface Warfare Center, Carderock Division, West Bethesda, MD
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Yu-Tai Lee
Naval Surface Warfare Center, Carderock Division, West Bethesda, MD
Paper No:
FEDSM2013-16505, V01AT02A008; 9 pages
Published Online:
December 13, 2013
Citation
Lee, Y. "Mysterious Behavior of Optimization Calculation With MOGA." Proceedings of the ASME 2013 Fluids Engineering Division Summer Meeting. Volume 1A, Symposia: Advances in Fluids Engineering Education; Advances in Numerical Modeling for Turbomachinery Flow Optimization; Applications in CFD; Bio-Inspired Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES, and Hybrid RANS/LES Methods. Incline Village, Nevada, USA. July 7–11, 2013. V01AT02A008. ASME. https://doi.org/10.1115/FEDSM2013-16505
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