National University of Sciences and Technology
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ME-801 Optimization of Engineering Systems
Campus College of E&ME
Programs PG
Session Spring Semester 2017
Course Title Optimization of Engineering Systems
Course Code ME-801
Credit Hours 3-0
Pre-Requisutes Differential calculus, Linear algebra and problem solving
Course Objectives This course will focus on three parts. First part is on development of single to multi variable optimization; second is Linear and integer programming for optimization problems and final part will deal with evolutionary optimization techniques having stochastic optimization algorithms. After the completion of this course students should be able to numerically solve an engineering optimization problem using relevant mathematical model.
Detail Content
  • Engineering Optimal Problem  formulation:  Mathematical Models 
  • Single-variable Optimization Algorithms:  Bracketing Methods; Region-Elimination Methods;  Point-Estimation Method; Gradient-based Methods 
  • Multivariable Optimization Algorithms:  Optimality Criteria; Unidirectional Search; Direct Search Methods; Simplex search method; Gradient-based Methods 
  • Constrained Optimization Algorithms:  Kuhn-Tucker Conditions; Transformation Methods; Sensitivity Analysis; Direct Search for Constrained Minimization; Linearized Search Techniques
  • Non-traditional Optimization Algorithms: Genetic Algorithms; Differences and Similarities between GAs and traditional methods; Simulated Annealing
Text/Ref Books
  • Jasbir S. Arora, “Introduction to Optimum design”, Third Edition, 2012 Elsevier Inc
  • Kalyanmoy Deb, “Optimization for Engineering Design: Algorithms and Examples” Prentice Hall, 2000.
  • M.A. Bhatti, “Practical Optimization Methods,” Springer Verlag, N.Y. (2000).
  • Related Journals
Time Schedule Spring, 2017
Faculty/Resource Person Aamer Ahmed Baqai, PhD
PhD (ParisTech) France
Discipline: Mechanical Engineering
Specialization: Manufacturing System Design and Optimization, Machine Kinematics, Optimization of Manufacturing Process plans, Algorithmic Design, Mathematical modelling of Machining Tolerances