A Study on Surrogate Models for the Multidisciplinary Design Optimization of a Surface Grinder(I)

  • Cha, Kuo-Chiang (PI)
  • Wang, Nen-Zi (CoPI)

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Project Details

Abstract

Multidiscipline Design Optimization, A Surface Grinder, Surrogate model, Experimental Design, Response Surface Methodology, Kriging method, Radial Basis Function Neutral Network, Genetic Algorithm, Multi-objective Optimization, Parallel Computing

Project IDs

Project ID:PB9807-2071
External Project ID:NSC98-2221-E182-021
StatusFinished
Effective start/end date01/08/09 → 31/07/10

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