Table 2 Summary of the GANN parameters

Population size

300

Chromosome size

20 features

Chromosome Encoding

Real-number representation

Fitness Function

The total number of correctly labelled samples

Selection

Tournament, tournament size = 2

ANN architecture

20-2-2

ANN size

48 nodes including 4 bias nodes

ANN learning algorithm

Feedforward

ANN activation function

Tanh

Crossover operator

Single-point, P_c = 0:5

Mutation operator

P_m = 0:1

Elitism strategy

Retain N-1 chromosomes in the population, where N is the total number of chromosomes in the population

Evaluation size

80000

Whole cycle repeat

5000