EXPERT TALK SERIES ON FUZZY SYSTEMS AND GENETIC ALGORITHMS , KPR Institute Engineering and Technology, Autonomous Engineering Institution, Coimbatore, India

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EXPERT TALK SERIES ON FUZZY SYSTEMS AND GENETIC ALGORITHMS
Expert Talk Dept. Level
DATE
Sep 15, 2023 to Oct 17, 2023
TIME
07:01 PM to 08:01 PM
DEPARTMENT
Artificial Intelligenceand Machine Learning
TOTAL PARTICIPATES
14
Outcome
  1. The students were able to learn how fuzzy logic and genetic algorithm techniques are used in various applications.

  2. The expert provided some real-world applications of fuzzy logic and genetic algorithms. This helps the students to see the practical relevance of these techniques in areas such as control systems, robotics, finance, healthcare.

  3. The students were able to understand the problem-solving process, from defining fuzzy rules and variables to setting up genetic algorithms for optimization.

  4. Students were able to see practical demonstrations, simulations, and hands-on exercises related to fuzzy logic and genetic algorithms.

Summary

The expert talk on 'Fuzzy Logic and Genetic Algorithms' provides valuable insights into these advanced computational techniques for students. The first part of the talk focused on fuzzy logic. The expert explained the basic concepts, including linguistic variables, membership functions, and fuzzy rules. Real-world applications of fuzzy logic were also presented to illustrate its significance. In the second segment, the expert delved into genetic algorithms. Students were introduced to the principles of evolutionary algorithms, including selection, crossover, mutation, and population evolution. The expert showcased examples of optimization problems that can be solved using Genetic Algorithms. The expert presented case studies and practical applications where fuzzy logic and genetic algorithms are used, including control systems, finance, healthcare, and robotics. These examples demonstrated the wide-reaching implications of the discussed techniques. The students gained a deeper understanding of fuzzy logic and genetic algorithms, with a focus on practical applications. Students were presented with concrete and practical examples illustrating how fuzzy logic can be ingeniously employed to define fitness functions within genetic algorithms, solving complex real-world problems with agility and precision.


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