Robust design optimization approach by combination of sensitivity analysis and sigma level estimation

Naoki Nishida, Yasuhito Takahashi, Shinji Wakao

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number4526962
Pages (from-to)998-1001
Number of pages4
JournalIEEE Transactions on Magnetics
Volume44
Issue number6
DOIs
Publication statusPublished - 2008 Jun 1

Keywords

  • Genetic algorithm (GA)
  • Multi-objective optimization
  • Particle swarm optimization (PSO)
  • Robust optimization
  • Sensitivity analysis
  • Sigma level

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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