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

# | Unit/Topic | Marks |
---|---|---|

100 | Introduction | - |

200 | Linear Programming | - |

300 | Non-linear Programming | - |

400 | Dynamic Programming (DP) | - |

500 | Genetic Algorithm | - |

600 | Applications to Power System | - |

Total | - |

## 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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