| gen.design.pars {odr} | R Documentation | 
Generate optimal design parameters using ant colony optimization
Description
This function can generate a set of optimal design parameters based on given distributions of the rank of optimization target (or budget).
Usage
gen.design.pars(
  dist.mean,
  dist.rank,
  n.of.ants,
  nl,
  q = 1e-04,
  n.of.archive = 100,
  xi = 0.5
)
Arguments
| dist.mean | List of means - coordinates | 
| dist.rank | Rank of the archived values of objective function | 
| n.of.ants | Number of ants used in each iteration after the initialization of power analysis for calculating required budget, default value is 10. | 
| nl | Neighborhood of the search area | 
| q | Locality of the search (0,1), default is 0.0001. | 
| n.of.archive | Size of the solution archive, default is 100. | 
| xi | Convergence pressure (0, Inf), suggested: (0, 1), default is 0.5. | 
Value
Generated optimal design parameter value(s) (i.e., a matrix with n.of.ants rows and n.of.design.pars columns)
References
Socha, K., & Dorigo, M. (2008). Ant colony optimization for continuous domains. European Journal of Operational Research, 185(3), 1155-1173.
We thank Dr. Krzysztof Socha for providing us the original code (http://iridia.ulb.ac.be/supp/IridiaSupp2008-001/) for this function.