Time
|
Duration
|
Type
|
Presenting person
|
Title
|
September 16th, Sunday |
|
| 10:15 |
Opening |
| 10:30 |
Genetic algorithms: The method |
| 10:30 |
00:30:00 |
Invited |
Nirupam Chakraborti |
Genetic algorithms: Explanation of basic ideas (tutorial lecture part I) |
| 11:00 |
00:30:00 |
Invited |
Pierre Collet |
Evolutionary Algorithms: operators and parameters |
| 11:30 |
00:30:00 |
Invited |
Marek W. Gutowski |
Gentle but rigorous introduction to genetic algorithms or what makes them tick? |
| 12:00 |
Coffee |
| 12:15 |
Genetic algorithms: The method (I). |
| 12:15 |
00:30:00 |
Invited |
El ghazali Talbi |
Evolutionary algorithms: From design to implementation |
| 12:45 |
00:30:00 |
Invited |
Nirupam Chakraborti |
Genetic algorithms: Multi-objective methods (tutorial lecture part II) |
| 13:15 |
Lunch |
| 14:30 |
Genetic algorithms: The method and its applications. |
| 14:30 |
00:30:00 |
Invited |
Pierre Collet |
Genetic Programming |
| 15:00 |
00:30:00 |
Invited |
Manfred Baerns |
Application of genetic algorithms in the development of catalytic inorganic materials |
| 15:00 |
00:30:00 |
Invited |
Nirupam Chakraborti |
The genetic algorithm-neural net combination (tutorial lecture part III) |
| 16:00 |
Coffee |
| 16:15 |
Inspirations and applications. Implementations and software. |
| 16:15 |
00:30:00 |
Invited |
Jooyoung Lee |
Global optimization and protein folding studies |
| 16:45 |
00:30:00 |
Invited |
Roy L. Johnston |
Genetic algorithms for cluster optimization: general aspects |
| 17:15 |
00:30:00 |
Invited |
David Farrusseng |
Implement your Genetic Algorithms with a mouse |
| 17:45 |
00:30:00 |
Invited |
Scott M. Woodley |
Hands-on guide for breeding structures using GULP |
