Practical optimization algorithms with enhanced efficiency

  • Supports various algorithms that minimizes computational cost while searching for an optimal solution
  • Practicality can be maximized when simulation software are integrated within PIAnO

STDQAO

Sequential Two-point Diagonal Quadratic Approximate Optimization

  • Algorithm that sequentially finds the optimum using sensitivity based metamodels

PQRSM

Progressive Quadratic Response Surface Method

  • Sequential optimization algorithm using DOE based metamodels
  • Sensitivity is not required

ePPAO

efficient Progressive Polynomial Approximate Optimization

  • An algorithm for high dimensional problems to minimize computational cost
  • Focuses on finding an improved solution rather than an optimum
  • Polynomial based sequential approximate optimization
  • Sensitivity is not required

FSolver

Feasible Solver

  • An algorithm for finding a feasible solution rather than the optimum
  • Requires sensitivity