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Learn · Optimization Methods for Civil Engineering

Lecture 23 of 38Week 9: Metaheuristic Optimization

Lec 23: GA using R (Unconstrained problem)

Prof. Rajib Kumar Bhattacharjya · IIT Guwahati

Credits and licence

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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All the lectures

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