Engineering optimization

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Engineering optimization [1] [2] [3] is the subject which uses optimization techniques to achieve design goals in engineering. [4] [5] It is sometimes referred to as design optimization.

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Design optimization is an engineering design methodology using a mathematical formulation of a design problem to support selection of the optimal design among many alternatives. Design optimization involves the following stages:

  1. Variables: Describe the design alternatives
  2. Objective: Elected functional combination of variables
  3. Constraints: Combination of Variables expressed as equalities or inequalities that must be satisfied for any acceptable design alternative
  4. Feasibility: Values for set of variables that satisfies all constraints and minimizes/maximizes Objective.

References

  1. Martins, J. R. R. A.; Ning, A. (2021). Engineering Design Optimization. Cambridge University Press. ISBN   978-1108833417.
  2. S. S. Rao, Engineering Optimization: Theory and Practice, Wiley, (2009)
  3. X.-S. Yang, Engineering Optimization: An Introduction with Metaheuristic Applications, Wiley, (2010).
  4. J. N. Siddall, Optimal Engineering Design, CRC Press, (1982).
  5. A.R. Parkinson, R. Balling, and J.D. Hedengren, Optimization Methods for Engineering Design, Brigham Young University, 2013.
  6. J.E. Rayas-Sanchez,"Power in simplicity with ASM: tracing the aggressive space mapping algorithm over two decades of development and engineering applications", IEEE Microwave Magazine, vol. 17, no. 4, pp. 64-76, April 2016.