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Course Detail

Course Name Optimization Techniques in Engineering
Course Code 15MEC240
Program B. Tech. in Mechanical Engineering
Year Taught 2019


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

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.

Unit 2

Optimization algorithms for solving unconstrained optimization problems – Gradient based method: Cauchy’s steepest descent method, Newton’s method, Conjugate gradient method.

Optimization algorithms for solving constrained optimization problems – direct methods – penalty function methods – steepest descent method – Engineering applications of constrained and unconstrained algorithms.

Unit 3

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.

Text Books

  • Rao S. S. – ‘Engineering Optimization, Theory and Practice’ – New Age International Publishers – 2012 – 4th Edition


  • Deb K. – ‘Optimization for Engineering Design Algorithms and Examples’ – PHI – 2000
  • Arora J. – ‘Introduction to Optimization Design’ – Elsevier Academic Press, New Delhi – 2004
  • . Saravanan R. – ‘Manufacturing Optimization through Intelligent Techniques’ – Taylor & Francis (CRC Press) – 2006
  • Hardley G. -‘Linear Programming’ – Narosa Book Distributors Private Ltd. – 2002

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