TY - JOUR
T1 - Robust design optimization approach by combination of sensitivity analysis and sigma level estimation
AU - Nishida, Naoki
AU - Takahashi, Yasuhito
AU - Wakao, Shinji
PY - 2008/6
Y1 - 2008/6
N2 - This paper proposes a novel robust optimization approach by combination of sensitivity analysis and sigma level estimation in multi-objective problems. In order to obtain robust Pareto-oprima within acceptable computational costs, we actively reuse the already calculated data for the sensitivity analysis in multipoint search algorithm. The sigma level estimation is also utilized to select the significant solutions from a large number of Pareto-optima based on both the robustness and the performance. Some numerical results that verify the effectiveness of the proposed methods are presented.
AB - This paper proposes a novel robust optimization approach by combination of sensitivity analysis and sigma level estimation in multi-objective problems. In order to obtain robust Pareto-oprima within acceptable computational costs, we actively reuse the already calculated data for the sensitivity analysis in multipoint search algorithm. The sigma level estimation is also utilized to select the significant solutions from a large number of Pareto-optima based on both the robustness and the performance. Some numerical results that verify the effectiveness of the proposed methods are presented.
KW - Genetic algorithm (GA)
KW - Multi-objective optimization
KW - Particle swarm optimization (PSO)
KW - Robust optimization
KW - Sensitivity analysis
KW - Sigma level
UR - http://www.scopus.com/inward/record.url?scp=44049105938&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=44049105938&partnerID=8YFLogxK
U2 - 10.1109/TMAG.2007.915329
DO - 10.1109/TMAG.2007.915329
M3 - Article
AN - SCOPUS:44049105938
VL - 44
SP - 998
EP - 1001
JO - IEEE Transactions on Magnetics
JF - IEEE Transactions on Magnetics
SN - 0018-9464
IS - 6
M1 - 4526962
ER -