| Module Name | Download |
|---|---|
| noc21_ce60_assignment_Week_0 | noc21_ce60_assignment_Week_0 |
| noc21_ce60_assignment_Week_1 | noc21_ce60_assignment_Week_1 |
| noc21_ce60_assignment_Week_10 | noc21_ce60_assignment_Week_10 |
| noc21_ce60_assignment_Week_11 | noc21_ce60_assignment_Week_11 |
| noc21_ce60_assignment_Week_2 | noc21_ce60_assignment_Week_2 |
| noc21_ce60_assignment_Week_3 | noc21_ce60_assignment_Week_3 |
| noc21_ce60_assignment_Week_4 | noc21_ce60_assignment_Week_4 |
| noc21_ce60_assignment_Week_5 | noc21_ce60_assignment_Week_5 |
| noc21_ce60_assignment_Week_6 | noc21_ce60_assignment_Week_6 |
| noc21_ce60_assignment_Week_7 | noc21_ce60_assignment_Week_7 |
| noc21_ce60_assignment_Week_8 | noc21_ce60_assignment_Week_8 |
| noc21_ce60_assignment_Week_9 | noc21_ce60_assignment_Week_9 |
| noc21_ce60assignment_Week12 | noc21_ce60assignment_Week12 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lec 1: Introduction to Optimization | Download |
| 2 | Lec 2: Classical Optimization | Download |
| 3 | Lec 3: Introduction to Linear Problem | Download |
| 4 | Lec 4: General system of equations | Download |
| 5 | Lec 5: Simplex Method | Download |
| 6 | Lec 6: Solution of Linear Problem using Excel Solver | Download |
| 7 | Lec 7: Bracketing Method | Download |
| 8 | Lec 8: Region Elimination Methods | Download |
| 9 | Lec 9: Gradient Based Method and Examples | Download |
| 10 | Lec 10: Convex Function | Download |
| 11 | Lec 11: Line Search Methods for Multi-Variable Problems | Download |
| 12 | Lec 12: Quadratic Approximation Method | Download |
| 13 | Lec 13: Constrained Optimization I: Equality constraints | Download |
| 14 | Lec 14: Constrained Optimization II:Inequality constraints | Download |
| 15 | Lec 15: Constrained Optimization III: Penalty function methods | Download |
| 16 | Lec 16: Introduction to Metaheuristic Optimization | Download |
| 17 | Lec 17: Genetic Algorithms (Part I) | Download |
| 18 | Lec 18: Genetic Algorithms (Part II) | Download |
| 19 | Lec 19: Genetic Algorithms (Part III) | Download |
| 20 | Lec 20: Real Coded Genetic Algorithms | Download |
| 21 | Lec 21: Multi-modal optimization | Download |
| 22 | Lec 22: Introductioin to R | Download |
| 23 | Lec 23: GA using R (Unconstrained problem) | Download |
| 24 | Lec 24: GA using R (Constrained problem) | Download |
| 25 | Lec 25: Constraint Handling in GAs | Download |
| 26 | Lec 26: Evolution Strategies (ESs) | Download |
| 27 | Lec 27: Particle swarm optimization | Download |
| 28 | Lec 28: Introductioin to R (Part II) | Download |
| 29 | Lec 29: Multi-objective Genetic Algorithms | Download |
| 30 | Lec 30: Introduction to Differential Evolution | Download |
| 31 | Lec 31: Introduction to Matlab | Download |
| 32 | Lec 32: Optimization using Matlab (Classical methods) | Download |
| 33 | Lec 33: A tutorial on Differential Evolution | Download |
| 34 | Lec 34: NSGA II Using R | Download |
| 35 | Lec 35: Optimization using MATLAB | Download |
| 36 | Lec 36: Optimization using Excel Solver | Download |
| 37 | Lec 37: Multi-objective Genetic Algorithms using MATLAB | Download |
| 38 | Lec 38: Solution of a Design Problem Using MATLAB | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lec 1: Introduction to Optimization | PDF unavailable |
| 2 | Lec 2: Classical Optimization | PDF unavailable |
| 3 | Lec 3: Introduction to Linear Problem | PDF unavailable |
| 4 | Lec 4: General system of equations | PDF unavailable |
| 5 | Lec 5: Simplex Method | PDF unavailable |
| 6 | Lec 6: Solution of Linear Problem using Excel Solver | PDF unavailable |
| 7 | Lec 7: Bracketing Method | PDF unavailable |
| 8 | Lec 8: Region Elimination Methods | PDF unavailable |
| 9 | Lec 9: Gradient Based Method and Examples | PDF unavailable |
| 10 | Lec 10: Convex Function | PDF unavailable |
| 11 | Lec 11: Line Search Methods for Multi-Variable Problems | PDF unavailable |
| 12 | Lec 12: Quadratic Approximation Method | PDF unavailable |
| 13 | Lec 13: Constrained Optimization I: Equality constraints | PDF unavailable |
| 14 | Lec 14: Constrained Optimization II:Inequality constraints | PDF unavailable |
| 15 | Lec 15: Constrained Optimization III: Penalty function methods | PDF unavailable |
| 16 | Lec 16: Introduction to Metaheuristic Optimization | PDF unavailable |
| 17 | Lec 17: Genetic Algorithms (Part I) | PDF unavailable |
| 18 | Lec 18: Genetic Algorithms (Part II) | PDF unavailable |
| 19 | Lec 19: Genetic Algorithms (Part III) | PDF unavailable |
| 20 | Lec 20: Real Coded Genetic Algorithms | PDF unavailable |
| 21 | Lec 21: Multi-modal optimization | PDF unavailable |
| 22 | Lec 22: Introductioin to R | PDF unavailable |
| 23 | Lec 23: GA using R (Unconstrained problem) | PDF unavailable |
| 24 | Lec 24: GA using R (Constrained problem) | PDF unavailable |
| 25 | Lec 25: Constraint Handling in GAs | PDF unavailable |
| 26 | Lec 26: Evolution Strategies (ESs) | PDF unavailable |
| 27 | Lec 27: Particle swarm optimization | PDF unavailable |
| 28 | Lec 28: Introductioin to R (Part II) | PDF unavailable |
| 29 | Lec 29: Multi-objective Genetic Algorithms | PDF unavailable |
| 30 | Lec 30: Introduction to Differential Evolution | PDF unavailable |
| 31 | Lec 31: Introduction to Matlab | PDF unavailable |
| 32 | Lec 32: Optimization using Matlab (Classical methods) | PDF unavailable |
| 33 | Lec 33: A tutorial on Differential Evolution | PDF unavailable |
| 34 | Lec 34: NSGA II Using R | PDF unavailable |
| 35 | Lec 35: Optimization using MATLAB | PDF unavailable |
| 36 | Lec 36: Optimization using Excel Solver | PDF unavailable |
| 37 | Lec 37: Multi-objective Genetic Algorithms using MATLAB | PDF unavailable |
| 38 | Lec 38: Solution of a Design Problem Using MATLAB | PDF unavailable |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |