A Novel BBO Algorithm Based on Local Search and Nonuniform Variation for Iris Classification

Table 2

Algorithm parameter settings.

Setting object	Parameter	Value
Common part	Population size; The maximum number of iterations; Elite reserves
BBO/BBOPSO	Habitat modification probability; Maximum immigration; Maximum migration; Mutation probability
DE	Weighting factor; Crossover probability
EHO	The scale factors; The number of clans	,
DEBBO	Weighting factor; Crossover probability; DE mutation scheme	DE/rand/1/bin
The proposed NBBO	Habitat modification probability; Maximum immigration; Maximum migration; Mutation probability; System parameters