Learn · Optimization Methods for Civil Engineering
Lecture 28 of 38Week 10: Metaheuristic Optimization
Lec 28: Introduction to R (Part II)
Prof. Rajib Kumar Bhattacharjya · IIT Guwahati
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- From
- Optimization Methods for Civil Engineering, IIT Guwahati (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Lec 1: Introduction to Optimization
- Lec 2: Classical Optimization
- Lec 3: Introduction to Linear Problem
- Lec 4: General system of equations
- Lec 5: Simplex Method
- Lec 6: Solution of Linear Problem using Excel Solver
- Lec 7: Bracketing Method
- Lec 8: Region Elimination Methods
- Lec 9: Gradient Based Method and Examples
- Lec 10: Convex Function
- Lec 11: Line Search Methods for Multi-Variable Problems
- Lec 12: Quadratic Approximation Method
- Lec 13: Constrained Optimization I: Equality constraints
- Lec 14: Constrained Optimization II: Inequality constraints
- Lec 15: Constrained Optimization III: Penalty function methods
- Lec 16: Introduction to Metaheuristic Optimization
- Lec 17: Genetic Algorithms (Part I)
- Lec 18: Genetic Algorithms (Part II)
- Lec 19: Genetic Algorithms (Part III)
- Lec 20: Real Coded Genetic Algorithms
- Lec 21: Multi-modal optimization
- Lec 22: Introduction to R
- Lec 23: GA using R (Unconstrained problem)
- Lec 24: GA using R (Constrained problem)
- Lec 25: Constraint Handling in GAs
- Lec 26: Evolution Strategies (ESs)
- Lec 27: Particle swarm optimization
- Lec 28: Introduction to R (Part II)
- Lec 29: Multi-objective Genetic Algorithms
- Lec 30: Introduction to Differential Evolution
- Lec 31: Introduction to Matlab
- Lec 32: Optimization using Matlab (Classical methods)
- Lec 33: A tutorial on Differential Evolution
- Lec 34: NSGA II Using R
- Lec 35: Optimization using MATLAB
- Lec 36: Optimization using Excel Solver
- Lec 37: Multi-objective Genetic Algorithms using MATLAB
- Lec 38: Solution of a Design Problem Using MATLAB