Table 4.

Parameters used for experiments (common parameters for MWIS-ACO-LS).

Common parameters for MWIS		Value
r 0	The correlation for crating a vertex	0.35
Common parameters for ACO
m	Population size	30
nmax	The number of iteration	100
α	Influence of the pheromone	1.2
β	Heuristic information	0.2
ρ loc	Local evaporation of pheromone	0.002
ρ glob	Local evaporation of pheromone	0.06
λ	Factor of updating pheromone	1.6
τ i0	The initial pheromone of pathway 0	1.0
τ i1	The initial pheromone of pathway 1	1.0
τ min	The lower pheromone	0.05
τ max	The upper pheromone	1.4
w 1	The weight coefficient in the fitness function	0.99
Common parameter for the local search algorithm
itmax	The maximal number of iteration without improvement	5
n add	The maximal number of Add operations	3
n del	The maximal number of Del operations	5
Common parameter for the backward generation algorithm
itmax	The maximal number of iteration without improvement	20
n add	The maximal number of Add operations	0
n del	The maximal number of Del operations	2
Common parameter for the KNN classifier
K	The number of neighbors	1
The distance used	The Euclidean distance
Common parameters for the logistic regression model (LR)
α LR	The regularization term constant	0.0001
l1ratio	The weight given to L1 into the Elasticnet	0.5