GeneXproTools Environment

Genetic Operators
 
By selecting the Genetic Operators Tab, you have full access to the genetic operators used to create genetic diversity in the population of evolving models.

All the learning algorithms of GeneXproTools 4.0 use the basic genetic operators listed in the Genetic Operators Tab (mutation, inversion, IS transposition, RIS transposition, one-point recombination, two-point recombination, gene recombination, and gene transposition). These operators allow you to introduce the ideal degree of genetic modification so that an efficient evolution could take place.

If you are overwhelmed by all these operators, please use the default values as they work very well for all problems. If you are curious, though, about the workings of evolution and the importance of each operator, you can see what happens by selecting the ones you are interested in and choosing different rates and then observe the evolutionary process in the Run Panel.

Home | Contents | Previous  | Next