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Robust Design Optimization Method for Engineering System

In: Handbook of Smart Energy Systems

Author

Listed:
  • Richa Verma

    (Indian Institute of Technology)

  • Dinesh Kumar

    (University of Bristol
    Missouri University of Science and Technology)

  • Kazuma Kobayashi

    (Missouri University of Science and Technology)

  • Syed Alam

    (Missouri University of Science and Technology)

Abstract

Robust optimization is a method for optimization under uncertainties in engineering systems and designs for applications ranging from aeronautics to nuclear. In a robust design process, parameter variability (or uncertainty) is incorporated into the engineering systems’ optimization process to assure the systems’ quality and reliability. This chapter focuses on a robust optimization approach for developing robust and reliable advanced systems and explains the framework for using uncertainty quantification and optimization techniques. For the uncertainty analysis, a polynomial chaos-based approach is combined with the optimization algorithms MOSA (Multi-Objective Simulated Annealing), and the process is discussed with a simplified test function. For the optimization process, gradient-free genetic algorithms are considered as the optimizer scans the whole design space, and the optimal values are not always dependent on the initial values.

Suggested Citation

  • Richa Verma & Dinesh Kumar & Kazuma Kobayashi & Syed Alam, 2023. "Robust Design Optimization Method for Engineering System," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 1325-1332, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-97940-9_206
    DOI: 10.1007/978-3-030-97940-9_206
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