ABCoptim: Implementation of Artificial Bee Colony (ABC) Optimization

[!NOTE] How to cite ABCoptim. If you use ABCoptim in published work, please cite it:

Vega Yon G, Muñoz E. ABCoptim: Implementation of Artificial Bee Colony (ABC) Optimization. doi:10.32614/CRAN.package.ABCoptim

Run citation("ABCoptim") in R for the BibTeX entry.

This is an implementation of Karaboga (2005) ABC optimization algorithm. It was developed upon the basic version programmed in C and distributed at the algorithm’s official website (see the references).

Any evident (precision) error should be blamed to the package author (not to the algorithm itself).

Example

library(ABCoptim)

Using ABCoptim in your research? Please cite it: citation("ABCoptim")

# Function to optimize. Min at (pi,pi)
fun <- function(x) {
  -cos(x[1])*cos(x[2])*exp(-((x[1] - pi)^2 + (x[2] - pi)^2))
}

# Since it is stochastic, we need to set a seed to get the same
# results.
set.seed(123)

# Finding the minimum
ans <- abc_optim(rep(10,2), fun, lb=-20, ub=20, criter=200)
ans

 An object of class -abc_answer- (Artificial Bee Colony Optim.):
 par:
    x[1]:  3.141593
    x[2]:  3.141593

 value:
          -1.000000

 counts:
           457

plot(ans)

References

D. Karaboga, An Idea based on Honey Bee Swarm for Numerical Optimization, tech. report TR06,Erciyes University, Engineering Faculty, Computer Engineering Department, 2005 http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf

Artificial Bee Colony (ABC) Algorithm (website) http://mf.erciyes.edu.tr/abc/index.htm

Basic version of the algorithm implemented in ‘C’ (ABC’s official website) http://mf.erciyes.edu.tr/abc/form.aspx

Code of Conduct

Please note that the ABCoptim project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.