Optimization Methods for Civil Engineering
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Optimization Methods for Civil Engineering
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Optimization Methods for Civil Engineering
38 Lectures
1654 min
Lec 1: Introduction to Optimization
Preview
43 min
Lec 2: Classical Optimization
54 min
Lec 3: Introduction to Linear Problem
58 min
Lec 4: General system of equations
48 min
Lec 5: Simplex Method
55 min
Lec 6: Solution of Linear Problem using Excel Solver
43 min
Lec 7: Bracketing Method
26 min
Lec 8: Region Elimination Methods
40 min
Lec 9: Gradient Based Method and Examples
46 min
Lec 10: Convex Function
48 min
Lec 11: Line Search Methods for Multi-Variable Problems
36 min
Lec 12: Quadratic Approximation Method
25 min
Lec 13: Constrained Optimization I: Equality constraints
40 min
Lec 14: Constrained Optimization II:Inequality constraints
42 min
Lec 15: Constrained Optimization III: Penalty function methods
33 min
Lec 16: Introduction to Metaheuristic Optimization
48 min
Lec 17: Genetic Algorithms (Part I)
60 min
Lec 18: Genetic Algorithms (Part II)
56 min
Lec 19: Genetic Algorithms (Part III)
37 min
Lec 20: Real Coded Genetic Algorithms
32 min
Lec 21: Multi-modal optimization
21 min
Lec 22: Introductioin to R
71 min
Lec 23: GA using R (Unconstrained problem)
53 min
Lec 24: GA using R (Constrained problem)
45 min
Lec 25: Constraint Handling in GAs
41 min
Lec 26: Evolution Strategies (ESs)
29 min
Lec 27: Particle swarm optimization
33 min
Lec 28: Introduction to R (Part II)
35 min
Lec 29: Multi-objective Genetic Algorithms
44 min
Lec 30: Introduction to Differential Evolution
40 min
Lec 31: Introduction to Matlab
66 min
Lec 32: Optimization using Matlab (Classical methods)
51 min
Lec 33: A tutorial on Differential Evolution
20 min
Lec 34: NSGA II Using R
39 min
Lec 35: Optimization using MATLAB
56 min
Lec 36: Optimization using Excel Solver
52 min
Lec 37: Multi-objective Genetic Algorithms using MATLAB
38 min
Lec 38: Solution of a Design Problem Using MATLAB
50 min
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