1 | Introduction |
2 | Foundations of GAs. |
3 | Traditional optimization and search methods. |
4 | Biological optimization-Natural selection. |
5 | Components of Binary GAs. |
6 | Variables selection, cost function, and population. |
7 | GA's operations: reproduction, crossover, and mutation. |
8 | Mid-term exam. |
9 | GAs at work: Simulation by hand. |
10 | The fundamental theorem of the GAs. |
11 | Computer implementation of GAs. |
12 | The continuouş GAs. |
13 | Variable encoding, precition, and bounds. |
14 | Examples: Applications to practical problems. |