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Transportation algorithm and optimality: assignment model, Hungarian method. The simplex algorithm: post optimality analysis, duality in l.p., dual simplex method, revised simplex method.
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Understand genetic algorithms, Binary/Real coded GAs for constrained optimization, and simulated annealing, ant colonies, particle swarm optimization.Understand and apply different algorithms for solving goal or integer programming, nonlinear programming problems.Students will be able to solve real life problems related with transportation and assignment problems, queuing theory etc.Students will be able to use various software packages such as Lingo, Solver, and TORA for solving linear programming and integer programming models.Students shall be able to use variables for formulating complex mathematical models in management science, industrial engineering and transportation science.
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The objective of this course is to develop an ability in the students to understand and analyze managerial problems in industry so that they are able to use resources (capitals, materials, staffing, and machines) more effectively, formulate mathematical models for quantitative analysis of managerial problems in industry, develop skills in the use computer tools in solving real problems in industry.
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