Objectives:
- Knowledge of Numerical Optimization Algorithms
- Concepts of optimization methods and algorithms developed for solving various types of optimization problems
- Apply the mathematical results and numerical techniques of optimization theory to various Engineering and Analytics problems and applications in both theoretical and applied research areas.
- Understand mathematical modeling and the formulation of optimization problems
- Create programs based on different optimization algorithms using IT tools, such as MATLAB etc.
- Understand theory about linear programming, integer programming
- Stochastic programming
- Understand the process of finalizing design of engineering systems by applying the numerical Optimization
- Introduction to optimization, classical optimization techniques
- Linear programming & non linear programming and dimensional minimization methods.
- Non coordination optimization techniques, coordinated optimization techniques, coordinated programming
- Dynamic programming, integer programming, stochastic programming
- Solution of a variety of design problems in mechanical engineering, using numerical optimization techniques
- Additional Topics: multi-objective, optimization, game theory, optical control theory
:
