Optimization Techniques

Paper Code: 
STT 502
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

This paper aims at teaching the students various optimization techniques and to introduce them with the concept of operational research.

 

Students will be able to:

Course

Learning outcomes (at course level

Learning and teaching strategies

Assessment Strategies

 

Paper Code

Paper Title

STT-502

Optimization Techniques

 

CO 64: Demonstrate the knowledge about the scope, principles and models of Operation Research.

 

CO 65: Solve the linear programming problems graphically as well as with the help of the concept of  simplex and duality.

 

CO66: Solve the problem regarding best assignment in companies, real life situations

 

CO 67: Obtain  the optimum cost and profit  in transportation of goods from different sources to destinations.

 

CO 68: Learn the concept of game theory and solve related problems which come across in financial markets.

Approach in teaching:

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

Learning activities for the students:

Assignments

Seminar

Presentation

Subject based  Activities

 

Classroom Quiz

Assignments

Class Test

Individual Presentation

 

9.00

Unit I                                                                                                                          

Linear Programming: History and scope of operation research limitations and advantages concept of basis, basic feasible solutions, convex sets and extreme points. Definition of General L.P.P., formulation problems of L.P.P.

9.00

Unit II                                                                                                         

Graphical Method of solving L.P.P., bounded and unbounded solutions, Simplex Method: Theory of Simplex Method, M-Charne’s simplex method. Degeneracy in linear programming.

9.00

Unit III                                                                                                               

Two-Phase simplex method, Duality in linear programming. Assignment problem: balanced and unbalanced problem.

 

10.00

Unit IV                                                                                                              

Transportation Problem: North West Corner rule, Least-Cost method, and Vogel’s approximation method (VAM) to find the starting solution (initial basic feasible solution). Procedure to find the optimal solution using MODI method. Degeneracy in transportation problem.

 

8.00

Unit V                                                                                                              

Theory of games: introduction, description and characteristics of game theory, two person zero sum game, solution of pure and mixed strategy problems-principle of dominance. solution of mix game by linear programming method.

 

Essential Readings: 

●   Taha, H.A. (2007): Operation Research: An Introduction, Prentice Hall of India Ltd.

            ●  Sharma, S.D. (1997): Operation Research, Kedar nath Ramnath and Co.                    (Publishers)

References: 

SUGGESTED READINGS:

 

  • Khandelwal R.S.: Quantitative technique, first edition
  • Garvin, W.W.(1960): Introduction to Linear Programming, McGraw Hill.
  • Rao, S.S.(1984): Optimization Technique and Applications, Wiley Eastern.

 

e-RESOURCES:

 

 

JOURNALS:

 

  • Sankhya The Indian Journal of Statistics, Indian Statistical Institute
  • Aligarh Journal of Statistics, Department of Statistics and Operations Research, Aligarh Muslim University
  • Afrika Statistika, Saint-Louis Senega University
  • International Journal of Statistics and Reliability Engineering, Indian Association for Reliability and Statistic
  • Journal of the Indian Society for Probability and Statistics, Indian Society for Probability and Statistics
  • Journal of the Indian Statistical Association, Indian Statistical Association
  • Statistica, Department of Statistical Sciences Paolo Fortunato, University of Bologna
  • Statistics and Applications, Society of Statistics, Computer and Applications
  • Stochastic Modeling and Applications, MUK Publications and Distributions

 

Academic Year: