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. 2021 Oct 4;10(10):giab068. doi: 10.1093/gigascience/giab068

Table 2:

Parameters of the genetic algorithm and the values used in the experiments

Parameter Description Value
Elite fraction Fraction of individuals that is directly copied to the next generation 0.2
Crossover fraction Fraction of individuals that is replaced by new individuals that are generated by crossing 2 parents from the production fraction 0.4
Production fraction Fraction of individuals used as parents when generating crossover individuals 0.2
Mutation probability Used to calculate the upper bound of changed genes when mutating individuals 0.05
Immigration fraction Fraction of individuals that is swapped between the subpopulations 0.2
Immigration Interval No. of iterations between swaps 10
Iterations No. of iterations performed by the genetic algorithm 50
Subpopulation size No. of individuals contained in each of the subpopulations 50