Efficient constrained large-scale multi-objective optimization based on reference vector-guided evolutionary algorithm

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Abstract
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Funding Information
  • National Natural Science Foundation of China (62202129, 62262017)
  • Scientific Research Project of Hunan Provincial Department of Education (21C0922)
  • Open Fund Project of Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province (QCCK2021-006)
  • Hainan Provincial Postdoctoral Science Foundation (123MS003)
  • Open Fund Project of Fujian Provincial Key Laboratory of Data Intensive Computing (BD202004)

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