SAMA: A Fast Self-Adaptive Memetic Algorithm for Detecting SNP-SNP Interactions Associated with Disease

Table 2

Parameter setting of five algorithms.

Algorithm	Parameters
SAMA	The crossover probabilities and ; the switch parameter ; the number of individuals
FHSA-SED	The harmony memory considering rate =0.9; the pitch-adjusting rate =0.35; the number of harmonies evaluated with Bayesian network scoring ; the number of harmonies evaluated with Gini scoring
AntEpiSeeker	The size of large SNP sets ; the size of small SNP sets ; the weight parameters and ; the pheromone evaporation rate ; the initial pheromone ; the number of ants
IEACO	The switch parameter is 0.001; the upper bound of negative feedback pheromone on worse paths ; the weight parameters and ; the parameter determining the weight of negative feedback pheromone ; the number of ants
DESeeker	The number of SNPs in a large size SNP combination ; the number of vectors