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Table 1 Fixed or Default AGA parameters.

From: An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression

Parameter

Value

Notes

Adaptive cross-over rate (k1)

1

Empirically optimal value [11]

Adaptive mutation rate (k2)

0.5

Empirically optimal value [11]

Generations

300*

Computation time and solution quality trade-off

Population size

50

Balance between diversity capacity and computation time

Tournament size

2

Low selective pressure

  1. * Unless specified otherwise