### 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

• 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