ABCoptim: An implementation of the Artificial Bee Colony (ABC) Algorithm <img src="man/figures/logo.png" align="right" height="300px"/>

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)

# 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)

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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