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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