Optimization Techniques detailed Syllabus for Electrical & Electronics Engineering (EEE), R18 regulation has been taken from the JNTUH official website and presented for the students affiliated to JNTUH course structure. For Course Code, Subject Names, Theory Lectures, Tutorial, Practical/Drawing, Credits, and other information do visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the universities official website.
For all the other EEE 3rd Year 2nd Sem Syllabus for B.Tech R18 Regulation JNTUH, visit Electrical & Electronics Engineering 3rd Year 2nd Sem R18 Scheme.
For all the (Professional Elective-II) subjects refer to Professional Elective-II Scheme. The detail syllabus for optimization techniques is as follows.
Pre-requisite:
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Course Objectives:
- To introduce various optimization techniques i.e classical, linear programming, transportation problem, simplex algorithm, dynamic programming
- Constrained and unconstrained optimization techniques for solving and optimizing an electrical and electronic engineering circuits design problems in real world situations.
- To explain the concept of Dynamic programming and its applications to project implementation.
Course Outcomes:
After completion of this course, the student will be able to
- explain the need of optimization of engineering systems
- understand optimization of electrical and electronics engineering problems
- apply classical optimization techniques, linear programming, simplex algorithm, transportation problem
- apply unconstrained optimization and constrained non-linear programming and dynamic programming
- Formulate optimization problems.
Unit I
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Unit II
Linear Programming: Standard form of a linear programming problem – geometry of linear programming problems – definitions and theorems – solution of a system of linear simultaneous equations – pivotal reduction of a general system of equations – motivation to the simplex method -simplex algorithm.
Transportation Problem: Finding initial basic feasible solution by north – west corner rule, least cost method and Vogels approximation method – testing for optimality of balanced transportation problems.
Unit III
Unconstrained Non-linear Programming: One dimensional minimization methods, Classification, Fibonacci method and Quadratic interpolation method
Unconstrained Optimization Techniques: Uni-variant method, Powells method and steepest descent method.
Unit IV
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Unit V
Dynamic Programming: Dynamic programming multistage decision processes – types – concept of sub optimization and the principle of optimality – computational procedure in dynamic programming -examples illustrating the calculus method of solution – examples illustrating the tabular method of solution.
Text Books:
- Singiresu S. Rao, Engineering Optimization: Theory and Practice by John Wiley and Sons, 4th edition, 2009.
- H. S. Kasene and K. D. Kumar, Introductory Operations Research, Springer (India), Pvt. Ltd., 2004
Reference Books:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
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For detail Syllabus of all other subjects of B.Tech 3rd Year 2nd Sem Electrical & Electronics Engineering, visit EEE 3rd Year 2nd Sem Syllabus Subjects.
For all B.Tech results, visit JNTUH B.Tech all years, and semester results from direct links.