Optimization Techniques detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Robotics & Automation Engineering 5th Sem scheme and its subjects, do visit Robotics 5th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to Robotics Professional Elective-IV syllabus scheme. The detailed syllabus of optimization techniques is as follows.
Course Objectives:
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Unit I
INTRODUCTION TO OPERATIONS RESEARCH 9
Introduction to Operations Research – assumptions of linear programming problems -Formulations of linear programming problem – Graphical method
Unit II
LINEAR PROGRAMMING 9
Solutions to LPP using simplex algorithm- Revised simplex method – primal dual relationships -Dual simplex algorithm – Sensitivity analysis – Computer programming linear methods
Unit III
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Unit IV
UNCONSTRAINED OPTIMIZATION FOR CONSTRAINED PROBLEMS 9
Lagrange method – inequality constraints – KKT conditions – quadratic programming – geometric programming – separable linear programming – sequential linear programming – feasible direction method
Unit V
EVOLUTIONARY PROGRAMMING 9
Genetic Engineering – Genetic Operators – Reproduction – Crossover – Mutation – Selection -Genetic Local Search – Simulated Annealing – Ant Colony Optimization – Particle Swarm Optimization
Course Outcomes:
At the end of the course students able to
- Knowledge on the concept in operation research
- Recognize about the linear programing
- Analyze the various methods in one dimensional and multi-dimensional
- Knowledge in constrained and unconstrained problems
- Apply the various methods in evolutionary programming
Text Books:
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Reference Books:
- Pannerselvam, Operations Research: Prentice Hall of India 2010.
- Taha H A, Operations Research, An Introduction, PHI, 2008
- Singiresu S Rao, “Engineering Optimization: Theory and Practice”, Wiley, 4th Edition, 2013.
- David G.Luenberger, “Linear and Nonlinear Programming”, Springer Publications, 3rd Edition, 2008.
- Hamdy A Taha, “Operations Research – An Introduction”, Pearson, 10th Edition, 2018.
- Stephen Boyd, Lieven Vandenberghe, “Convex Optimization”, Cambridge, 2016.
- Bertsekas, Dimitri P. “Nonlinear Programming”. 3rd Edition. Athena Scientific Press, Belmont, Massachusetts 2016
For detailed syllabus of all the other subjects of Robotics & Automation Engineering 5th Sem, visit Robotics 5th Sem subject syllabuses for 2021 regulation.
For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.