COURSE SUMMARY
Course Title: 
Multidisciplinary Design Optimization
Course Code: 
15AES471
Year Taught: 
2015
2016
2017
2018
Degree: 
Undergraduate (UG)
School: 
School of Engineering
Campus: 
Coimbatore

'Multidisciplinary Design Optimization' is a course offered in the B. Tech. in Aerospace Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham.

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.

  • 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.