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Optimization Techniques and Its Applications Semester 7 (BE Fourth Year) BE Electrical Engineering University of Mumbai Topics and Syllabus

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CBCGS [2019 - current]
CBGS [2015 - 2018]
Old [2000 - 2014]

University of Mumbai Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications Revised Syllabus

University of Mumbai Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications and their Unit wise marks distribution

Units and Topics

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Syllabus

100 Introduction
  • Optimization Techniques, Conventional Techniques, Evolutionary Techniques.
200 Linear Programming
  • Simplex method, Revised simplex method, Duality in linear programming.
300 Non-linear Programming

Quadratic Programming with Kuhn-Tucker conditions and Wolfe’s Modified simplex method , Geometric programming.

400 Dynamic Programming (DP)
  • Multistage decision processes, concept of sub-optimization and principle of optimality, conversion of final value problem into an initial value problem.
  • Integer Programming: Gomory's cutting plane method, Branch and bound algorithm.
500 Genetic Algorithm
  • Definition and concept used in GA, coding of variables, fitness function General algorithm of GA, Unconstrained and constrained optimization using Genetic Algorithm, global optimization using GA.
  • Particle swarm Optimization Algorithm: Basic fundamentals, general PSO Algorithm.
600 Applications to Power System
  • Economic Load Dispatch and Unit commitment problem using dynamic Programming, GA and Particle swam optimization techniques.
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