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The TRSPopulation class is the base population class for the library. It represents the entire population (the collection of TRSIndividual items) in a Genetic Algorithm or Programming problem.

Genetic components work by evolving your population towards the solution of the problem. Parents are selected from the current generation to reproduce the children of the next generation. Evolving a new generation involves:

Selecting 2 parents (Individuals) to reproduce

Splicing the the 2 parents together to make a child (called Crossover)

Optionally Mutating and Inverting the "dna" of the child to provide randomness

Repeating the above steps until the population of the new generation has been produced.

Namespace: RSGeneticBase

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