University of Mumbai Syllabus For Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications: Knowing the Syllabus is very important for the students of Semester 7 (BE Fourth Year). Shaalaa has also provided a list of topics that every student needs to understand.
The University of Mumbai Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications syllabus for the academic year 2022-2023 is based on the Board's guidelines. Students should read the Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications Syllabus to learn about the subject's subjects and subtopics.
Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications Syllabus pdf 2022-2023. They will also receive a complete practical syllabus for Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications in addition to this.
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
University of Mumbai Semester 7 (BE Fourth Year) Optimization Techniques and Its Applications Course Structure 2022-2023 With Marking Scheme
| # | Unit/Topic | Weightage |
|---|---|---|
| 100 | Introduction | |
| 200 | Linear Programming | |
| 300 | Non-linear Programming | |
| 400 | Dynamic Programming (DP) | |
| 500 | Genetic Algorithm | |
| 600 | Applications to Power System | |
| Total | - |
Syllabus
- Optimization Techniques, Conventional Techniques, Evolutionary Techniques.
- Simplex method, Revised simplex method, Duality in linear programming.
Quadratic Programming with Kuhn-Tucker conditions and Wolfe’s Modified simplex method , Geometric programming.
- 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.
- 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.
- Economic Load Dispatch and Unit commitment problem using dynamic Programming, GA and Particle swam optimization techniques.
