Genetic Algorithm (GA)

Example:

Parameters:

• Population: 500

• Selection: Tournament selection

• Crossover: TwoPoint crossover

• Mutation: Uniform mutation

• Selection rate: 30%

• Mutation rate: 1%

• Target: Search for the work of humans.

Output:

Generation #1
ɖ7ˉƋćÄÕňÁqGx^ȱżŘÎ\ĹɌĎjɵŶ \ -> -5.6865916
ɖ7ˉƋćÄÕňÁqGx^͉xƱŘÎ\ĹɌĎjɵŶǻ\ -> -6.287963
7ˉƋćÄÕňÁqGx^ȱż˵$ͩè̸ĺñѲȏŘ -> -6.4206553
...
Generation #481
Sdarch gor!the wosk of gumans. -> -0.0075396597
Sdarch gor!the wosk of gumans. -> -0.0075396597
Sdarch gor!the wosk of gumans. -> -0.0075396597
...
Generation #1081
Search for the work of humans. -> -0.0026588365
Search for the work of gumans. -> -0.0030173287
Search for the work of gumans. -> -0.0030173287