| 1 | Lecture 1 : Dynamic Programming : Introduction | PDF unavailable |
| 2 | Lecture 2 : Stagecoach Problem | PDF unavailable |
| 3 | Lecture 3 : An Investment Problem | PDF unavailable |
| 4 | Lecture 4 : An Investment Problem (Contd.) | PDF unavailable |
| 5 | Lecture 5 : Further Examples | PDF unavailable |
| 6 | Lecture 6 : Machine Allocation and Cargo Loading Problem | PDF unavailable |
| 7 | Lecture 7 : Knapsack Problem | PDF unavailable |
| 8 | Lecture 8 : Probabilistic Dynamic Programming | PDF unavailable |
| 9 | Lecture 9 : Probabilistic Dynamic Programming (Contd.) | PDF unavailable |
| 10 | Lecture 10 : Dijkstra's Algorithm | PDF unavailable |
| 11 | Lecture 11 : Integer Programming : Introduction | PDF unavailable |
| 12 | Lecture 12 : Integer Programming : Formulation | PDF unavailable |
| 13 | Lecture 13 : Integer Programming : Formulation (Contd.) | PDF unavailable |
| 14 | Lecture 14 : Integer Linear Programming | PDF unavailable |
| 15 | Lecture 15 : Cutting Plane Method | PDF unavailable |
| 16 | Lecture 16 : Exhaustive Enumeration and Branch and Bound Techniques | PDF unavailable |
| 17 | Lecture 17 : Branch and Bound Technique | PDF unavailable |
| 18 | Lecture 18 : Assignment and Travelling Salesman Problem | PDF unavailable |
| 19 | Lecture 19 : Travelling Salesman Problem (Contd.) | PDF unavailable |
| 20 | Lecture 20 : Heuristic Methods for Integer Programming | PDF unavailable |
| 21 | Lecture 21 : Non-Linear Programming : Introduction | PDF unavailable |
| 22 | Lecture 22 : Single-Variable Unconstrained Optimization | PDF unavailable |
| 23 | Lecture 23 : Multi-variable Unconstrained NLP | PDF unavailable |
| 24 | Lecture 24 : Solving Unconstrained NLP | PDF unavailable |
| 25 | Lecture 25 : Numerical Methods for Unconstrained NLP | PDF unavailable |
| 26 | Lecture 26 : Constrained NLP : Lagrange Multipliers | PDF unavailable |
| 27 | Lecture 27 : Constrained NLP : KKT Conditions | PDF unavailable |
| 28 | Lecture 28 : Constrained NLP : KKT Conditions (Contd.) | PDF unavailable |
| 29 | Lecture 29 : Quadratic Programming | PDF unavailable |
| 30 | Lecture 30 : Example problems on Constrained NLP | PDF unavailable |
| 31 | Lecture 31 : Introduction to Metaheuristics | PDF unavailable |
| 32 | Lecture 32 : Genetic Algorithms | PDF unavailable |
| 33 | Lecture 33 : Genetic Algorithm Process | PDF unavailable |
| 34 | Lecture 34 : Genetic Algorithm Process (Contd.) | PDF unavailable |
| 35 | Lecture 35 : Genetic Algorithm Examples | PDF unavailable |
| 36 | Lecture 36 : Simulated Annealing | PDF unavailable |
| 37 | Lecture 37 : Tabu Search | PDF unavailable |
| 38 | Lecture 38 : Particle Swarm Optimization | PDF unavailable |
| 39 | Lecture 39 : Multi-Objective Optimization | PDF unavailable |
| 40 | Lecture 40 : NSGA-II Examples | PDF unavailable |