Learn · Computer Aided Applied Single Objective Optimization

Lecture 21 of 36Week 8: Solution of Case Study with Mathematical & CI Techniques

Lec 2: Branch & Bound Method for MILP

Prof. Prakash Kotecha · IIT Guwahati

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Computer Aided Applied Single Objective Optimization, IIT Guwahati (at NPTEL)
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CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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All the lectures

  1. Lec 01: Introduction to Optimization Video
  2. Lec 1 : Teaching Learning Based Optimization Video
  3. Lec 2 : Implementation of TLBO in MATLAB Video
  4. Lec 1: Particle Swarm Optimization Video
  5. Lec 2: Implementation of Particle Swarm Optimization using MATLAB Video
  6. Lec 1: Differential Evolution Video
  7. Lec 2: Implementation of Differential Evolution using MATLAB Video
  8. Lec 1 : Binary Coded Genetic Algorithm Video
  9. Lec 2 : Real Coded Genetic Algorithm Video
  10. Lec 3 : Implementation of Real Coded Genetic Algorithm using MATLAB Video
  11. Lec 1: Artificial Bee Colony Algorithm Video
  12. Lec 2 : Working of Artificial Bee Colony Algorithm Video
  13. Lec 3 : Implementation of Artificial Bee Colony using MATLAB Video
  14. Lec 1 : Constraint-Handling in Metaheuristic Techniques Video
  15. Lec 2 : Preliminary Statistical Analysis for Metaheuristic Techniques Video
  16. Lec 3 : Preliminary Statistical Analysis - MATLAB implementation Video
  17. Lec 4 : Comparison of Variation Operators and Survival Strategies Video
  18. Lec 5: Parallelization and Vectorization of Fitness Function Video
  19. Lec 6 : Black-Box Optimization Problems Video
  20. Lec 1: Simplex Method for LP Video
  21. Lec 2: Branch & Bound Method for MILP Video
  22. Lec 3: MILP formulation of Production Planning Problem Video
  23. Lec 4: Constraint-Handling using Correction Approach Video
  24. Lec 1: Linear Regression Video
  25. Lec 2: Multiple, Polynomial and General Linear Least Square Regression Video
  26. Lec 3: Nonlinear Regression Video
  27. Lec 4: Regression : MATLAB Implementation Video
  28. Lec 1: MATLAB inbuilt functions: Linear & Mixed Integer Linear Programming Video
  29. Lec 2: MATLAB inbuilt functions: Nonlinear & Mixed Integer Nonlinear Programming Video
  30. Lec 3: MATLAB Optimization Tool: Options, Output Function, Vectorization, Parallelization Video
  31. Lec 4: MATLAB inbuilt functions: Multi-objective Optimization Video
  32. Lec 1: Generalized Algebraic Modelling System Video
  33. Lec 2: Solution of Production Planning Problem using GAMS & NEOS, MIRO Video
  34. Lec 3: IBM ILOG CPLEX Optimization Studio Video
  35. Lec 4: Constraint Programming Applications in IBM ILOG CPLEX Optimization Studio Video
  36. Live Session 19-02-2020 Video