
1  Basic principles, definitions of linear and non linear optimization.  Problem solving with guidance  
2  Fundamentals of unrestricted non linear optimization problems. Fundamentals of restricted non linear optimization problems.  Problem solving with guidance  
3  Principles of Detailed search and Dichotomous search and their algorithms.  Problem solving with guidance  
4  Principles of Golden section and Fibonacci methods and their algorithms.  Problem solving with guidance  
5  Principles of Bisecting and Newton methods and their algorithms.  Problem solving with guidance  
6  Principles of Quasi Newton and Secant methods and their algorithms.  Problem solving with guidance  
7  Principles of Random search and Cyclic Coordinates methods and their algorithms.  Problem solving with guidance  
8    
9  Principles of Hooke  Jeeves and Powell methods and their algorithms.  Problem solving with guidance  
10  Evolutionary algorithms and applications.  Problem solving with guidance  
11  Evolutionary algorithms and applications.  Problem solving with guidance  
12  Nearest Neighborhood algorithm and applications.  Problem solving with guidance  
13  Artificial Bee Colony algorithm and applications.  Problem solving with guidance  
14  Ant Colony algorithm and applications.  Problem solving with guidance  
15  Simulated Annealing algorithm and applications.  Problem solving with guidance  
16  Final Exam   