ME-604 (B) · Optimization Techniques/Official Syllabus
Optimization Techniques (ME-604 (B)) - Official Syllabus
1
Unit 1
Introduction to Optimization
- Engineering application of Optimization - Statement of an Optimization problem - Optimal Problem formulation
- Classification of Optimization problem
- Optimum design concepts, Definition of Global and Local optima
- Optimality criteria - Review of basic calculus concepts - Global optimality
2
Unit 2
Linear programming methods for optimum design
- Review of Linear programming methods for optimum design
- Post optimality analysis
- Application of LPP models in design and manufacturing
3
Unit 3
Optimization algorithms for solving unconstrained optimization problems
- Gradient based method: Cauchy's steepest descent method
- Newton's method
- Conjugate gradient method
4
Unit 4
Optimization algorithms for solving constrained optimization problems
- Direct methods
- penalty function methods
- steepest descent method - Engineering applications of constrained and unconstrained algorithms
5
Unit 5
Modern methods of Optimization
- Genetic Algorithms
- Simulated Annealing
- Ant colony optimization
- Tabu search - Neural-Network based Optimization - Fuzzy optimization techniques
- Applications. Use of Matlab to solve optimization problems
Reference Books
- Engineering Optimization, Theory and Practice
- Optimization for Engineering Design Algorithms and Examples
- Introduction to Optimization Design
- Manufacturing Optimization through Intelligent Techniques
- Linear Programming
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