Multidisciplinary Analysis and Optimization

Local and Global Optimization

The formulation of a optimization problem yields from the system requirements and specifications in the design task. It can be reduced to a mathematical problem, which is searching for a minimum of the objective function to find nominal values of the design parameters. Modern optimization methods as evolutionary algorithms can find not only local, but also global optima of any optimization problem.

OptiY provides also a mix-optimization with different types of design parameters:

  • Continuous with defined accuracy (increments)
    • Design parameters can be an arbitrary stepping
    • Continuous values have zero stepping
  • Discrete
    • List of possible values
    • Values belong to type series
  • Binary
    • Values represent a binary bit (0/1)
    • Integer values are defined by number of bits