Optimization Techniques (ME-604) - B Tech RGPV AICTE Flexible Curricula Notes

Sunday, March 15, 2020

Optimization Techniques (ME-604)
Optimization Techniques (ME-604) B.Tech RGPV notes AICTE flexible curricula Bachelor of technology

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B.Tech RGPV notes AICTE flexible curricula Bachelor of technology

Syllabus

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

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.

UNIT 3:
Optimization algorithms for solving unconstrained optimization problems:
Gradient based method: Cauchy’s steepest descent method, Newton’s method, Conjugate gradient method

UNIT 4:
Optimization algorithms for solving constrained optimization problems:
Direct methods – penalty function methods – steepest descent method - Engineering applications of constrained and unconstrained algorithms.

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.


NOTES


Books Recommended

1. Rao S. S. - ‘Engineering Optimization, Theory and Practice’ - New Age International Publishers - 2012 - 4th Edition.
2. Deb K. - ‘Optimization for Engineering Design Algorithms and Examples’ – PHI - 2000
3. Arora J. - ‘Introduction to Optimization Design’ - Elsevier Academic Press, New Delhi - 2004
4. . Saravanan R. - ‘Manufacturing Optimization through Intelligent Techniques’ - Taylor & Francis (CRC Press) - 2006
5. Hardley G. -‘Linear Programming’ - Narosa Book Distributors Private Ltd. - 2002


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