STOCHASTIC OPTIMISATION METHODS
Monte-Carlo method with interval reduction
Genetic Algorithms
- Mimic natural evolution process
Simulated Annealing
- Thermodynamical analogy of annealing of metals
Merits
- Non-linear, multi-modal, discontinuous functions
- Non-Greedy optimisation------global minimum (?)
- Better domain exploration
Demerits
- Tuning of optimisation parameters
- Large number of function evaluations
- Convergence