Genetic Algorithm Library – CodeProject

Genetic Algorithms

Genetic algorithms operate on a set of possible solutions. Because of the random nature of genetic algorithms, solutions found by an algorithm can be good, poor, or infeasible [defective, erroneous], so there should be a way to specify how good that solution is. This is done by assigning a fitness value [or just fitness] to the solution. Chromosomes represent solutions within the genetic algorithm. The two basic components of chromosomes are the coded solution and its fitness value.

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