abc_optimize: Artificial Bee Colony Engine
In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
abc_optimize R Documentation
Artificial Bee Colony Engine
Description
Internal implementation of the Artificial Bee Colony algorithm for
continuous optimization.
Usage
abc_optimize(fn, lower, upper, optimizer, verbose = TRUE, ...)
Arguments
fn
Objective function.
lower
Numeric vector of lower bounds.
upper
Numeric vector of upper bounds.
optimizer
An ABC optimizer object.
verbose
Logical. If TRUE, progress information is printed.
...
Additional arguments passed to fn.
Value
An object of class "met_optimize_result".
metANN documentation built on May 16, 2026, 1:06 a.m.
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| abc_optimize | R Documentation |
Artificial Bee Colony Engine
Description
Internal implementation of the Artificial Bee Colony algorithm for continuous optimization.
Usage
abc_optimize(fn, lower, upper, optimizer, verbose = TRUE, ...)
Arguments
fn |
Objective function. |
lower |
Numeric vector of lower bounds. |
upper |
Numeric vector of upper bounds. |
optimizer |
An ABC optimizer object. |
verbose |
Logical. If |
... |
Additional arguments passed to |
Value
An object of class "met_optimize_result".
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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