Optimization and Decision Making Techniques in Textile
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Follow on Instagram for UpdatesOptimization and Decision Making Techniques in Textile Syllabus — Unit-wise Content
The official GTU curriculum for Optimization and Decision Making Techniques in Textile (subject code ME01025081) as prescribed for TE · Semester 1 divides the course into 7 units, covering 37 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 (ME01025081)Unit 1 Introduction, Decision making process and classification,
- Optimization techniques
- analytics hierarchy process methodology
- fuzzy analytic hierarchy process
Unit 2 Technique for order of preference by similarity to ideal solution
- TOPSIS Methods
- Working principles of TOPSIS
- Applications of TOPSIS in Textile
- Fuzzy TOPSIS Method
- Working principles of Fuzzy-TOPSIS
Unit 3 Elimination and choice translating reality methodology, Working
- principles of ELECTRE method
- Application of ELECTRE method
- Graph theory and matrix approach of decision making
- Principles of Graph theory and matrix approach
- Application of graph theory and matrix approach of decision making in textiles
Unit 4 Linear programming problem formulation, Graphical method,
- Simplex Method
- applications of linear programming
- Fuzzy linear programming
- Crisp set, Fuzzy set, Membership Function
- Fuzzy Linear Programming Algorithm
- Applications of Fuzzy linear programming
Unit 5 Quadratic Programming Algorithm, Application of Wolfe’s
- method to solve quadratic programming problem
- Genetic Algorithm
- Working Principles of Genetic Algorithm
- Application of Genetic Algorithm in Textiles
Unit 6 Particle swarm optimization, Working principle of particle swarm
- Application of Particle Swarm Optimization in textiles
- Simulated Annealing
- Working principle of Simulated Annealing
- Application of Simulated Annealing in textiles
- Program Name: Engineering Level: Master of Engineering Branch: Textile Engineering Course / Subject Code: Course / Subject Name: Optimization and Decision Making Techniques in Textile
Unit 7 Multiobjective Optimization, Goal Programming, Multiobjective
- optimization using desirability function
- Application of desirability function approach for multiobjective optimization
- Multiobjective optimization of Air Permeability
- Thermal Conductivity and Ultraviolet protection factor of knitted fabrics using desirability function
- Multiobjective optimization using Evolutionary Algorithm
- Application of Evolutionary Algorithm for multiobective optimization
- Two objective functions: Spinning consistency index and Yarn Strength
- Three objective functions: Air permeability
- Thermal conductivity and ultraviolet protection factor of knitted fabric
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