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EndsemMay 20242019 patternBE AI&DS

Computational Intelligence SPPU Endsem Question Paper May 2024

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

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Subject code
417530
Pattern
2019 pattern
Exam
Endsem
Session
May 2024
Max. marks
70
Time
2½ Hours
Semester
VIII
Paper code
[6263]-390

Printed for: B.E. (Artificial Intelligence & Data Science)

Instructions to the candidates

  1. Solve Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7 or Q.8.
  2. Figures to the right indicates full marks.

Questions

  1. Q1

    1. a)

      What are the key performance measures used to evaluate the effectiveness of evolutionary algorithms?

      [6]
    2. b)

      What is swarm intelligence, and how does it differ from traditional optimization techniques?

      [6]
    3. c)

      Define Genetic programming and its application in symbolic regression?

      [6]

  2. Q2

    1. a)

      Discuss the importance of selection in evolutionary algorithms and its impact on the convergence of the algorithm?

      [6]
    2. b)

      Explain the concept of population in evolutionary computing and its significance in the optimization processes?

      [6]
    3. c)

      Compare and contrast genetic algorithms, evolution strategies, evolutionary programming.

      [6]

  3. Q3

    1. a)

      Explain the concept of an individual in the context of genetic algorithms and its role in the optimization process?

      [6]
    2. b)

      Explain the concept of Messy Genetic Algorithm?

      Also asked:May 2025

      [6]
    3. c)

      Write the principles of the Holland Classifier system and its application?

      [5]

  4. Q4

    1. a)

      Describe the process of selection in genetic algorithms, including the different selection strategies used?

      [6]
    2. b)

      What condition determines when a genetic algorithm stops iterating and returns the best solution found?

      [6]
    3. c)

      Explain the concept of initialization in genetic algorithms and its role in creating the initial population? 2

      [5]

  5. Q5

    1. a)

      Compare and contrast Word2Vec and GloVe in terms of how they generate word embeddings?

      [9]
    2. b)

      Explain the architecture of a Seq2Seq model and its role in neural machine translation?

      Also asked:May 2025

      [9]

  6. Q6

    1. a)

      How does BERT (Bidirectional Encoder Representations from Transformers) work, and what are its advantages over traditional language models?

      [9]
    2. b)

      Describe the TF-IDF (Term Frequency-Inverse Document Frequency) weighting scheme and its significance in text representation?

      [9]

  7. Q7

    1. a)

      Explain the concept of Artificial Immune Models and their significance in computational intelligence?

      [9]
    2. b)

      Describe the principles of Network Theory Model and its application in understanding immune system behaviour?

      [8]

  8. Q8

    1. a)

      Discuss the role of antigen-presenting cells in immune activation and its representation in the Dendritic Cell Model?

      [9]
    2. b)

      Discuss the limitations and challenges of applying Artificial Immune System models in real-world applications? 

      [8]