Optimization Techniques for Process Industries detail syllabus for Petroleum Engineering (Petro), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17PC741), and for exam duration, Teaching Hr/week, Practical Hr/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.
For all other petro 7th sem syllabus for be 2017 scheme vtu you can visit Petro 7th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-III subjects do refer to Professional Elective-III. The detail syllabus for optimization techniques for process industries is as follows.
Course Objectives:
- * To develop understanding of the principles, techniques, standard tools of process optimization.
- * To formulate multi objective optimization problem with and without constraints based on process requirements.
Module 1
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Module 2
Single Variable Optimization Algorithms- Optimality Criteria, Bracketing Methods, Region Elimination Methods: Fibonacci search and Golden section search methods, Gradient Based Methods: Newton-Raphson, Bisection, Secant methods.
Module 3
Multivariable Optimization- Optimality criteria, Hessian matrix, Unidirectional search, Direct Search: Simplex search, Powell’s conjugate gradient methods, Gradient based methods: Steepest Descent Method, Newton’s methods, Marquardt’s method.
Module 4
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Module 5
Specialized Search Method- Integer Programming: Penalty Function method, Branch-and-Bound method, Geometric Programming, Mixed integer Programming, Dynamic Programming. Evolutionary Global Optimization Techniques- Genetic Algorithms: Working Principles, GA Operators, Binary Coded GA, Real Coded GA, Nondominated Sorting GA, Pareto Optimization. Simulated Annealing, Ant Colony Optimization, Particle Swarm Optimization.
Course Outcomes:
To gain exposure to application of optimization techniques in case of various petrochemical processes.
Graduate Attributes (as per NBA):
- Engineering Knowledge
- Problem Analysis
- Design/development of solutions (Partly)
- Interpretation of data.
Question paper pattern:
- The question paper will have ten questions.
- Each full Question consisting of 20 marks
- There will be 2 full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Edgar, T F, Himmelblau, D M, and Lasdon, L S, O ptimization of Chemical Processes, McGraw Hill, Boston, 2001.
- Rao, S. S., Optimization Theory and Application s: Theory and Practice, New Age International, 3rd Edition, 1996.
- Deb, Kalyanmoy Optimization for Engineering Des ign, Prentice-Hall of India, 1995.
Reference Books:
- Deb, Kalyanmoy Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons Ltd. Chichester, West Sussex, England, 2001.
For detail syllabus of all other subjects of BE Petro, 2017 regulation do visit Petro 7th Sem syllabus for 2017 Regulation.
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