The purpose of this paper is to propose a multi-objective optimization algorithm, which can improve both the performance robustness and the constraint feasibility when the uncertainty in design variables is considered.
Multi-objective robust optimization by gradient index combined with the reliability-based design optimization (RBDO).
It is shown that searching for the optimal design of the TEAM problem 22, which can minimize the magnetic stray field by keeping the target system energy (180 MJ) and improve the feasibility of superconductivity constraint (quenching condition), is possible by using the proposed method.
RBDO method applied to the electromagnetic problem cooperated with the design sensitivity analysis by the finite element method.
This work was supported by Basic Science Research Program through NRF of Korea funded by the Ministry of Education, Science, and Technology (2011-0013845).
Ren, Z., Zhang, D. and Seop Koh, C. (2014), "Multi-objective optimization approach to reliability-based robust global optimization of electromagnetic device", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 33 No. 1/2, pp. 191-200. https://doi.org/10.1108/COMPEL-11-2012-0341Download as .RIS
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