Research Article

Discrete and Continuous Optimization Based on Hierarchical Artificial Bee Colony Optimizer

Table 2

Parameters of the HABC.


The number of species in top level
Subpopulation dividing D-dimensions into S-dimensions
Subpopulation size
Corresponding to a population of S-dimensions,
where
Dimensions of optimization problem
Top level population’s (species) ID counter from 1 to N
Button level population’s ID counter from 1 to K
The ith population (of the jth species)
CRSelection rate for replacing the offspring to the selected
individuals
The hierarchical interaction topology of HABC
The objective optimization goals