ME-572 OPTIMIZATION TECHNIQUES
Credit Hours = 3
COURSE CONTENT
- Application of various optimization methods, for optimizing process systems, business models and operations, including Artificial Neural Networks, Evolutionary Algorithm, Genetic Algorithms, Hill Climbing, Linear Programming, Lagrangian Relaxation, Multi-objective Evolutionary Algorithm, Multi-objective Simulated Annealing, Multi-objective TabuSearch, Non-linear programming, Nelder–Mead Simplex, Particle Swarm Optimization, Quadratic Programming,Simulated Annealing, Variable Neighborhood Search.
RECOMMENDED BOOKS
(01) Introduction to Operations Research by Frederick Hillier & Gerald Lieberman
(02) Neural networks and Learning Machines by Simon Haykin
(03) Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications by Michael Affenzeller, Stephan Winkler, Stefan Wagner & Andreas Beham
(04) Practical Genetic Algorithms by Randy Haupt & Sue Haupt
(05) Simulated Annealing: Theory and Applications by P.J. van Laarhoven & E.H. Aarts
