They feed them to the so-called genetic algorithm on which the testing is based. It works similarly to biological evolution, where the chromosomes are operating as the input.

The software integrates this approach with an interactive genetic algorithm that progressively changes the features based on principles borrowed from evolution.

We present a genetic algorithm for the multiple-choice integer program that finds an optimal solution with probability one (though it is typically used as a heuristic). General constraints are relaxed ...

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The software, called ParseCNV, is freely available to the scientific-academic community, and significantly advances the identification of gene variants associated with genetic diseases.