ProgrammationGenetique

Un article de Agora2ia.


Présentation

Genetic algorithms (GAs) are evolutionary algorithms that use the principle of natural selection to evolve a set of solutions toward an optimum solution. GAs are not only quite powerful, but are also very easy to use as most of the work can be encapsulated into a single component, requiring users only to define a fitness function that is used to determine how "good" a particular solution is relative to other solutions. Genetic Programs (GP) enhance GAs. They allow programmers to 'breed' dynamic programs instead of static chromosomes.


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