I am beginner to optimization and my question is fundamental. We all know that Static optimization means the design variables/objective function does not vary with respect to time. Dynamic optimization means the design variables vary with time. I need help in organizing the below algorithms/concepts into static and dynamic optimization categories.
- Ordinary calculus
- Dynamic Programming
- Convex Optimization
- Tabu Search
- Lagrange multiplier
- Genetic Algorithm
- Calculus of Variations
- Simulated Annealing
- Linear/Non-Linear Programming
- Particle Swarm Optimization
- Ant Colony Optimization
- First and Second Order Algorithms