Skip to main content

Table 2 Parameter setting of the proposed CSSMO algorithm

From: A novel and innovative cancer classification framework through a consecutive utilization of hybrid feature selection

Parameter

Value

Number of nests (population)

50

Total No. of eggs

10

Total No. of generations

200

Minimum probability \({(P}_{\alpha })\) of discovering an egg \({P}_{{a}_{min}}\)

0.3

Maximum probability \({(P}_{\alpha })\) of discovering an egg \({P}_{{a}_{max}}\)

0.5

\(\alpha\) Step size

1

The swarm size N

50

MG

5

Global leader limit

50

Local leader limit

1500

The number of simulations/runs

100