Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

Table 2 Implementation details of genetic algorithm

Parameters
Number of genetic algorithm iterations	5
Population	100
Maximum number of generations	100
Crossover probability	0.8
Elite count	2
Mutation probability	0.2
Selection	Binary selection tournament
Crossover	Laplace crossover
Mutation	Power mutation
Stopping criteria	Average change in best fitness value is less than 10⁻⁶ for 50 generations or number of generations = 100

ISSN: 1746-4811