Learn · Soft Computing Techniques

Lecture 37 of 62week-08

Lec 37 NSGA and NSGA-II

Prof. Santimoy Kundu · IIT-ISM Dhanbad

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Soft Computing Techniques, IIT-ISM Dhanbad (at NPTEL)
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All the lectures

  1. Lec 01 Fuzzy Sets Fuzzy Membership Function Support Core Crossover points & Bandwidth of a Fuzzy set Video
  2. Lec 02 Fuzzy Sets and Membership Function Alpha-Cut of a Fuzzy Set Fuzzy subset & Scalar cardinality Video
  3. Lec 03 Fuzzy Sets & Membership funt. Fuzzy subset & Scalar cardinality Basic operations & Properties Video
  4. Lec 04 Fuzzy Sets and Membership functions ........ intersection etc. " Video
  5. Lec 05 Fuzzy Sets Membership functions Basic operations Video
  6. Lecture 06: Crisp Relation and Example Fuzzy Relation and operations Video
  7. Lec 07: Crisp relation and fuzzy relation Extension principle Fuzzy arithmetic numbers & operations Video
  8. Lec 08 Fuzzy relation and operations Fuzzy multi-valued logic Fuzzy implications Video
  9. Lec 09: Fuzzy relation and fuzzy implications Fuzzy multi-valued logic Defuzzification Video
  10. Lec 10: Defuzzification Video
  11. Lecture 11 : Fuzzy rules Generalised Modus Ponens Generalised Modus Tollens Video
  12. Lecture 12 : Fuzzy rules Fuzzy inference system Video
  13. Lecture 13 : Fuzzy inference system Mamdanis, Sugenos and Tsukamoto type inferences Video
  14. Lecture 14: Fuzzy inference systems with examples Video
  15. Lecture 15 : Numerical examples Video
  16. Lec 16 Introduction of Genetic Algorithm Darwin’s Principle Video
  17. Lec 17 Working principle and flow chart of Genetic Algorithm Important terms of Genetic Algorithm Video
  18. Lec 18 Working procedure of Genetic Algorithm Initial population of Genetic Algorithm Video
  19. Lec19: Basic Concepts of Genetic Algorithm Some encoding technique of Genetic Algorithm Video
  20. Lec 20 Working principle of Genetic Algorithm Population Set Encoding Techniques Video
  21. Lec 21 Selection operator Population diversity and Selection Pressure Exploration and Exploitation Video
  22. Lec 22 Population diversity and Selection Pressure Exploration and Exploitation Selection Methods Video
  23. Lec 23 Selection Methods and Crossover Techniques Video
  24. Lec 24 Selection Methods Crossover techniques Crossover Probability and Mutation Probability. Video
  25. Lecture 25: Crossover techniques Video
  26. Lecture 26: Numerical Examples by using Genetic Algorithm Video
  27. Lecture 27: Numerical Examples Video
  28. Lecture 28: Numerical Examples (contd.) Video
  29. Lecture 29: Numerical Examples (contd.) Video
  30. Lecture 30: Numerical Examples (contd.) Video
  31. Lec 31 Introduction of Multi-objective optimization Video
  32. Lec 32 Weighted Sum Method Epsilon-Constraint Method Video
  33. Lec 33 Weighted Distance Metric Method Lexicographic Ordering Method Reference point method Video
  34. Lec 34: Few Methods to solve problems of Multi-objective optimization Video
  35. Lec 35 Introduction of Multi objective GAsVEGA Method" Video
  36. Lec 36 Vector Optimized Evolution Strategy (VOES)Weight-Based Genetic Algorithm (WBGA) Video
  37. Lec 37 NSGA and NSGA-II Video
  38. Lec 38 Numerical examples by using NSGA-II Video
  39. Lec 39 Concepts on non-domination Ranking Crowding distance operator NSGA-II Video
  40. Lec 40 Introduction of SPEA and SPEA 2 Video
  41. Lec 41: Introduction Rough Set theory Video
  42. Lec 42 Introduction Rough Set theory Indiscernibility Relation Video
  43. Lec 43 Indiscernibility Relation Lower Approximations Upper Approximations Video
  44. Lec 44 Lower Approximations Upper Approximations Boundary Regions Video
  45. Lec 45 Properties of Approximations and Basic classes of Rough Set theory with Numerical examples Video
  46. Lec 46 Rough membership function Dependency of Attributes Video
  47. Lec 47 Dependency of Attributes Reduct and Core Video
  48. Lec 48 Indispensable and Dispensable Attributes Reduct and Core Video
  49. Lec 49 Reduct and Core Discernibility Matrix and Function Video
  50. Lecture 50: Numerical examples of Discernibility Matrix and Function Video
  51. Lec 51 Some concepts on Rough set theory Introduction to Rule Generation Video
  52. Lec 52: Rule Generation based on Reduct and Core Video
  53. Lec 53 Some Problems of Rule Generations. Video
  54. Lec 54 Fuzzy-Rough Sets Video
  55. Lec 55 Some problems of Fuzzy-Rough sets Video
  56. Lec 56 Introduction to Artificial Neural Networks Video
  57. Lec 57 Numerical example of Backpropagation Algorithm Video
  58. Lec 58: Intelligent Systems Introduction to Neuro-Fuzzy system Video
  59. Lecture 59: Adaptive Neuro-Fuzzy Systems Video
  60. Lecture 60: Ant colony optimization techniques Video
  61. Live Session 20-03-2025 Video
  62. Live Session 17-04-2025 Video