Optimization Techniques detailed syllabus scheme for Electronics & Telecommunication Engineering (ET), 2019-20 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below.
For 6th Sem Scheme of Electronics & Telecommunication Engineering (ET), 2019-20 Onwards, do visit ET 6th Sem Scheme, 2019-20 Onwards. For the Open Elective-I Labs scheme of 6th Sem 2019-20 onwards, refer to ET 6th Sem Open Elective-I Labs Scheme 2019-20 Onwards. The detail syllabus for optimization techniques is as follows.
Optimization Techniques Syllabus for Electronics & Telecommunication Engineering (ET) 3rd Year 6th Sem 2019-20 DBATU
Course Objectives:
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Course Outcomes:
- After completion of this course students will be able to
- Cast engineering minima/maxima problems into optimization framework
- Learn efficient computational procedures to solve optimization problems
UNIT – 1
Introduction and Basic Concepts Historical Development; Engineering applications of Optimization; Art of Modeling, Objective function; Constraints and Constraint surface; Formulation of design problems as mathematical programming problems, Classification of optimization problems, Optimization techniques – classical and advanced techniques
UNIT – 2
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UNIT – 3
Linear Programming Standard form of linear programming (LP) problem; Canonical form of LP problem; Assumptions in LP Models; Elementary operations, Graphical method for two variable optimization problem; Examples, Motivation of simplex method, Simplex algorithm and construction of simplex tableau; Simplex criterion; Minimization versus maximization problems, Revised simplex method; Duality in LP; Primal-dual relations; Dual Simplex method; Sensitivity or post optimality analysis, Other algorithms for solving LP problems -Karmarkars projective scaling method
UNIT – 4
Dynamic Programming Sequential optimization; Representation of multistage decision process; Types of multistage decision problems; Concept of sub optimization and the principle of optimality, Recursive equations – Forward and backward recursions; Computational procedure in dynamic programming (DP), Discrete versus continuous dynamic programming; Multiple state variables; curse of dimensionality in DP
UNIT – 5
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UNIT – 6
Advanced Topics in Optimization Piecewise linear approximation of a nonlinear function, Multi objective optimization -Weighted and constrained methods; Multi level optimization, Direct and indirect search methods, Evolutionary algorithms for optimization and search
Text Books:
- S.S. Rao, “Engineering Optimization: Theory and Practice”, New Age International, New Delhi, 2000.
- G. Hadley, “Linear programming”, Narosa Publishing House, New Delhi, 1990.
- H.A. Taha, “Operations Research: An Introduction”, 5th Edition, Macmillan, New York, 1992.
- K. Deb, “Optimization for Engineering Design-Algorithms and Examples”, Prentice-Hall of India Pvt. Ltd., New Delhi, 1995.
- K. Srinivasa Raju and D. Nagesh Kumar, “Multicriterion Analysis in Engineering and Management”, PHI Learning Pvt. Ltd., New Delhi, India, ISBN 978-81-203-3976-7, pp.288, 2010.
For detail syllabus of all subjects of Electronics & Telecommunication Engineering (ET) 6th Sem 2019-20 onwards, visit ET 6th Sem Subjects of 2019-20 Onwards.