Optimization Techniques Aero 8th Sem Syllabus for VTU BE 2017 Scheme (Professional Elective-5)

Optimization Techniques detail syllabus for Aeronautical Engineering (Aero), 2017 scheme is taken from VTU official website and presented for VTU students. The course code (17AE833), 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 aero 8th sem syllabus for be 2017 scheme vtu you can visit Aero 8th Sem syllabus for BE 2017 Scheme VTU Subjects. For all other Professional Elective-5 subjects do refer to Professional Elective-5. The detail syllabus for optimization techniques is as follows.

Course Objectives:

This course will enable students to

1. Understand the unconstrained and constrained minimization.
2. Comprehend the direct search methods, discrete and dynamics programming.
3. Acquire the knowledge on finite element based optimization.

Module 1

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Module 2

Unconstrained Minimization: Multivariable functions. Necessary and sufficient conditions for optimality. Convexity. Steepest Descent Method -Convergence Characteristics. Conjugate Gradient Method. Linear programming -Simplex Method.

Module 3

Constrained Minimization: Non-linear programming. Gradient based methods. Rosens’s gradient, Zoutendijk’s method, Generalised reduced gradient, Sequential quadratic programming. Sufficient condition for optimality.

Module 4

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Module 5

Optimisation Application: Transportation problem. Transportation simplex method. Network problems. Maximum flow in net works. General definition of dynamic programming. Problem modeling and computer implementation. Finite Element Based Optimisation: Parameter optimization using gradient methods -Derivative calculation. Shape optimisation. Topology

SCHEME OF TEACHING AND EXAMINATION 2017-2018

optimisation of continuum structures.

Course Outcomes:

After studying this course, students will be able to:

1. Identify the unconstrained and constrained minimization effect of fluid properties.
2. Apply the direct search methods, discrete and dynamics programming.
3. Classify the optimisation application.

Graduate Attributes (as per NBA):

• Engineering Knowledge.
• Problem Analysis.
• Design / development of solutions
• Interpretation of data

Question paper pattern:

• The question paper will have ten questions.
• Each full question consists of 16 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:

1. Ashok D Belegundu and Tirupathi R . Chandrupatla, ‘Optimisation Concepts and Applications in Engineering’, Pearson Education, In C.,1991.
2. Fletcher, R, ‘Practical Methods of Optimisation’, Wiley, New York ,2nd Edition, 2009,ISBN-13: 978-8126524259.

Reference Books:

1. Dennis J.E. and Schnabel, R. B., ‘Numerical Methods for Unconstrained Optimisation and Nonlinear Equations’, Prentice Hall, Engle Wood Cliffs, New Jersey, 1983.
2. S.S. Rao, ‘ Optimisation -Theory and Application’, Wiley Eastern Ltd., 5th Edition.1990.

For detail syllabus of all other subjects of BE Aero, 2017 regulation do visit Aero 8th Sem syllabus for 2017 Regulation.

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