An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes

Table 4

Summary table of genetic algorithm control parameters and operators.

Parameter	Setting
Population size (N)	40
Number of generations	100
Selection	Tournament (k = 3)
Crossover operation	Uniform
Crossover rate	0.6
Mixing ratio	0.2
Mutation operation	Bit flip
Mutation rate	0.2
Bit flip rate	0.05