Idea of genetic algorithm came from

  1. Home

Question:
 Idea of genetic algorithm came from

1.machines

2.birds

3.aco

4.genetics

Posted Date:-2022-07-13 11:40:02

More MCQS Questions and answers

  1. cannot easily be transferred from one problem domain to another
  2. decides who becomes parents and how many children the parents have.
  3. doesnot usually allow decision makers to see how a solution to a en
  4. A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the uni
  5. Discrete events and agent-based models are usuallly used for .
  6. EV is considered as?
  7. Fitness function should be
  8. Fuzzy Computing
  9. Genetic algorithms are example of
  10. Idea of genetic algorithm came from
  11. In computing the output is called as
  12. LCS stands for
  13. Tabu search is an example of ?
  14. The a cut of a fuzzy set A is a crisp set defined by :-
  15. When is a complete enumeration of solution used?
  16. Which of the following is/are type of fuzzy interference method
  17. Who iniated idea of sofft computing
  18. A Fuzzy rule can have
  19. A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the co
  20. A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the inte
  21. All of the follwing are suitable problem for genetic algorithm EXCEPT
  22. All of the follwing are true about heuristics EXCEPT
  23. Applying recombination and mutation leads to a set of new candidates, called as ?
  24. Artificial neural network is used for
  25. can a crisp set be a fuzzy set?
  26. Chromosomes are actually ?
  27. Control actions while computing should be
  28. Core of soft computing is
  29. Determining the duration of the simulation occurs before the model is validated and te
  30. EC stands for?
  31. Elements of ES are/is
  32. EV is dominantly used for solving .
  33. Evolution Strategies is developed with
  34. Evolution Strategies typically uses
  35. Evolution Strategies typically uses
  36. Evolutionary algorithms are a based approach
  37. Evolutionary programming was developef by
  38. Fuzzy logic deals with which of the following
  39. Fuzzy logic is a form of
  40. GA stands for
  41. GBML stands for
  42. Genetic algorithm belong to the family of method in the
  43. Hard computing is also called as
  44. Hard computing perfforms what type of computation
  45. How does blind search differ from optimization
  46. in ES survival is
  47. In modeling,an optimal solution is understood to be
  48. In soft computing the problems,algorithms can be
  49. LCS belongs to based methods?
  50. mutation is applied on candidates.
  51. Neural network computing
  52. Parameters that affect GA
  53. recombination is applied on candidates.
  54. Soft computing is based on
  55. Survival is approach.
  56. The bandwidth(A) in a fuzzy set is given by
  57. The intersection of two fuzzy sets is the of each element from two sets
  58. The process of fuzzy interference system involes
  59. The union of two fuzzy sets is the of each element from two sets
  60. What are different types of crossover
  61. what are the parameters that affect GA are/is
  62. What denotes the core(A) in a fuzzy set?
  63. What does a fuzzifier do
  64. What does the 0 membership value means in the set
  65. What is the first step in Evolutionary algorithm
  66. When we say that the boundary is crisp
  67. Which approach is most suited to structured problem with little uncertainity
  68. Which computing produces accurate results
  69. Which of the folloowing is not defuzzifier method
  70. which of the following is a sequence of steps taken in designning a fuzy logic machine
Search
Olete Team
Online Exam Test Top Tutorials are Core Java,Hibernate ,Spring,Sturts.The content on Online Exam Test website is done by expert team not only with the help of books but along with the strong professional knowledge in all context like coding,designing, marketing,etc!