Fuzzy Logic and Genetic Programming
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Follow on Instagram for UpdatesFuzzy Logic and Genetic Programming Syllabus — Unit-wise Content
The official GTU curriculum for Fuzzy Logic and Genetic Programming (subject code BE05000461) as prescribed for Robotics · Semester 5 divides the course into 6 units, covering 25 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE05000461)Unit 1 Introduction to Soft Computing
- Soft computing vs hard computing
- Characteristics and applications
- Components: Fuzzy Logic
- Genetic Algorithms
- Real-world applications 4 Program Name: Bachelor of Engineering Level: UG Branch: All (Except Computer Engineering & Allied Branches) Subject Code: BE05000461 Subject Name: Fuzzy Logic and Genetic Programming w.e.f.2024-25 http://syllabus.gtu.ac.in/ Pageno.2of2
Unit 2 Fuzzy Logic Fundamentals
- Crisp sets vs fuzzy sets
- Membership functions (triangular
- Operations on fuzzy sets
- Fuzzy relations and properties
Unit 3 Fuzzy Inference Systems
- Fuzzification methods
- defuzzification methods
- Fuzzy rule-based systems
- Mamdani and Sugeno models
- Fuzzy controller design
Unit 4 Genetic Algorithms - Concepts
- basic concepts
- Basic structure of GA, encoding
- fitness function
Unit 5 Genetic Algorithms - Operations
- Genetic modeling: inheritance operators
- cross over
- inversion and deletion
- mutation operator
- bitwise operator
- generational cycle
- Convergence of GA, application and advance in GA, difference and similarity between GA, and other traditional methods
Unit 6 Advanced GA & Hybrid System
- Optimization problems using GA, Fuzzy-Genetic algorithm
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