ME-604 (B) RGPV B.Tech
Optimization Techniques (OT)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
5 papers, latest Jun 2025
- ME-604 (B) paper, Jun 2025
- ME-604 (B) paper, Dec 2024
- ME-604 (B) paper, May 2024
- ME-604 (B) paper, May 2023
- ME-604 (B) paper, May 2022
Syllabus, notes and important questions for ME-604 (B)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction to Optimization 9 topics
- Engineering application of Optimization
- Statement of an Optimization problem
- Optimal problem formulation
- Classification of Optimization problems
- Optimum design concepts
- Definition of Global and Local optima
- Optimality criteria
- Review of basic calculus concepts
- Global optimality
Unit 2 Linear programming methods for optimum design 3 topics
- Review of Linear programming methods for optimum design
- Post optimality analysis
- Application of LPP models in design and manufacturing
Unit 3 Optimization algorithms for solving unconstrained optimization problems 4 topics
- Gradient based methods
- Cauchy's steepest descent method
- Newton's method
- Conjugate gradient method
Unit 4 Optimization algorithms for solving constrained optimization problems 4 topics
- Direct methods
- Penalty function methods
- Steepest descent method (constrained)
- Engineering applications of constrained and unconstrained algorithms
Unit 5 Modern methods of Optimization 8 topics
- Genetic Algorithms
- Simulated Annealing
- Ant colony optimization
- Tabu search
- Neural-network based optimization
- Fuzzy optimization techniques
- Applications of modern optimization methods
- Use of Matlab to solve optimization problems