- Critical point analysis
- Linear Regression with:
- Manual search
- Grid search
- Random search
- Studying Gaussian Distribution
- Implementing penalty functions:
- Death
- Static
- Developing Genetic Algorithm from scratch for Knapsack problem
- Capstone: Finding feasible solution for a given optimization problem
- Under constraints
- Using Penalty functions
- Through Random search and Simulated Annealing
- Statistical analysis of the results on 21 runs of each algorithm
- Null-hypothesis statistical test