A New Reliability-Based Optimal Design Algorithm of Electromagnetic Problems with Uncertain Variables: Multi-objective Approach

  • Ren, Ziyan (School of Electrical Engineering, Shenyang University of Technology) ;
  • Peng, Baoyang (School of Electrical Engineering, Shenyang University of Technology) ;
  • Liu, Yang (Global Energy Interconnection Research Institute Co., Ltd.) ;
  • Zhao, Guoxin (School of Electrical Engineering, Shenyang University of Technology) ;
  • Koh, Chang-Seop (College of Electrical and Computer Engineering, Chungbuk National University)
  • Received : 2016.12.08
  • Accepted : 2017.11.06
  • Published : 2018.03.01


For the optimal design of electromagnetic device involving uncertainties in design variables, this paper proposes a new reliability-based optimal design algorithm for multiple constraints problems. Through optimizing the nominal objective function and maximizing the minimum reliability, a set of global optimal reliable solutions representing different reliability levels are obtained by the multi-objective particle swarm optimization algorithm. Applying the sensitivity-assisted Monte Carlo simulation method, the numerical efficiency of optimization procedure is guaranteed. The proposed reliability-based algorithm supplying multi-reliable solutions is investigated through applications to analytic examples and the optimal design of two electromagnetic problems.


Supported by : National Natural Science Foundation of China


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