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Course Detail

Course Name Multidisciplinary Design Optimization
Course Code 15AES471
Program B. Tech. in Aerospace Engineering
Year Taught 2019


Unit 1

Single Variable Optimization: Introduction to Optimization, Optimality Criteria – Bracketing Methods: Exhaustive Search Method, Bounding Phase Method, Region Elimination Methods, Golden Section Search Method, Gradient Based Methods: Newton-Raphson Method, Bisection Method, Secant Method, Cubic Search Method.

Unit 2

Multivariable Optimization: Optimality Criteria – Gradient Based Methods: Steepest Descent Method, Conjugate Direction Method, Conjugate Gradient Method and Newton’s Method – Constrained Optimization: Karush-Kuhn-Tucker Optimality Criteria, Direct Methods, Indirect Methods, Penalty Function Methods.

Unit 3

Global Optimization: Simulated Annealing, Genetic Algorithm, Particle Swarm Optimization, Multi-Objective Optimization – Pareto Optimality –Global Function / Weighted Sum.

Text Books

  1. Kalyanmoy Deb, “Optimization for Engineering Design Algorithms and Examples”, 2nd edition, Prentice Hall of India, New Delhi, 2012.


  • Kalyanmoy Deb, “Multi-Objective Optimization using Evolutionary Algorithms”, Wiley, 2010.
  • J. Arora, “Introduction to Optimum Design,” 3rd Edition, Elsevier, 2012.

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