Home → Teaching / CHN - 322: Optimization of Chemical Engineering Processes
Announcements
| Date | Information |
|---|---|
| Jan 07, 2020 | Course contents, suggested and addition reading materials updated |
| Jan 13, 2020 | Assignment/tutorial sheets are being uploaded under "Assignments/Tutorials" section. |
Course Information
| Code | CHN - 322 |
| Title | Optimization of Chemical Engineering Processes (OCEP) |
| Credits | 04 |
| Semester | Spring Semester, 2019-20 |
| Level | UG Level |
| Type | UG (3rd year) Elective Course |
| Pre-requisites | Knowledge of Core Chemical Engineering Courses (Fluid Mechanics, Heat and Mass Transfer, Reaction Engineering and Transport Phenomena, etc.), Computer Programming and Engineering Mathematics |
Coordinator |
Dr. Ram Prakash Bharti [e-mail | Web URL] Associate Professor Department of Chemical Engineering Indian Institute of Technology Roorrkee Roorkee 247667, INDIA |
Teaching Assistants (TAs) |
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Course Contents
| Unit No. | Topics |
|---|---|
| 1. | Introduction: Optimization and calculus based classical optimization techniques. |
| 2. | One Dimensional Minimization Methods: Elimination methods equally spaced points method, Fibonacci method and golden section method; Interpolation methods-quadratic interpolation and cubic interpolation, Newton and quasi-Newton methods. |
| 3. | Linear Programming (LP): Graphical representation, simplex and revised simplex methods, duality and transportation problems. |
| 4. | Multivariable Non-Linear Programming (MNLP): Unconstrained univariate method, Powell’s method, simplex method, rotating coordinate method, steepest descent method, Fletcher Reeves method, Newton’s methods Marquardt’s method and variable metric (DFP and BFGS) methods; Constrained- complex method, feasible directions method, GRG method, penalty function methods and augmented Lagrange multiplier method. |
| 5. | Dynamic Programming (DP): Multistage processes- acyclic and cyclic, sub-optimization, principle of optimality and applications. |
| 6. | Geometric Programming (GP): Differential calculus and Arithmetic- Geometric inequality approach to unconstrained GP; Constrained GP minimization; GP with mixed inequality constraints and Complementary GP. |
| 7. | Emerging Optimization Techniques: Genetic algorithm, simulated annealing, particle swarm and ant colony optimization. |
Schedule
| Semester | Contact Hours | Lectures (L) | Tutorials (T) | Practicals (P) |
|---|---|---|---|---|
| Spring | 4 (L - T - P : 3 -1 -0) |
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Suggested Books
| Arora R.K. (2015) Optimization Algorithms and Applications. CRC Press |
| Deb K. (2012) Optimization for Engineering Design: Algorithms and Examples, 2nd edition. PHI Learning Private Limited |
| Edger T.F., Himmelblau D.M. and Lasdon L.S. (2001) Optimization of Chemical Processes, 2nd edition. McGraw Hill |
| Fletcher R. (2000) Practical Methods of Optimization, 2nd edition. John Wiley & Sons, Inc. |
| Messac, A. (2015) Optimization in Practice with MATLAB. Cambridge University Press |
| Rao S.S. (2000) Engineering Optimization: Theory and Practices, 4th edition. John Wiley & Sons, Inc. |
| Ravindran A., Ragsdell K.M. and Reklaitis G.V. (2006) Engineering Optimization: Theory and Practices, 2nd edition. John Wiley & Sons, Inc. |
| Rhinehart, R.R. (2018) Engineering Optimization. John Wiley & Sons, Inc. |
| Weise T. (2020) An Introduction to Optimization Algorithms. | Download |
Other reading material
| Steps for optimization problems | Download |
| Noceda J. and Wright S.J. (2006) Numerical Optimization, 2nd edition. Springer Science+Business Media, LLC. | Download |
| Weise T. (2009) Global Optimization Algorithms -Theory and Applications. | Download |
Assessment
| Component | Weightage | Remarks |
|---|---|---|
| CWS (Class Work Sessionals) |
20% | Tutorial's / Assignment's / Quiz's / Punctuality / Discipline / etc. |
| MTE (Mid Term Examination) |
30% | Written examination of 1½ hours |
| ETE (End Term Examination) |
50% | Written examination of 3 hours |
Assignments/Tutorials
Note the following points:- Hand-written solutions on A4 pages must be submitted by the due date.
- Late submission shall not be accepted.
- Solutions must be equipped with all the steps and calculations.
| Sheet - 01 | Sheet - 02 | Sheet - 03 | Sheet - 04 |