This function can generate a set of optimal design parameters based on given distributions of the rank of optimization target (or budget).
gen.design.pars(
dist.mean,
dist.rank,
n.of.ants,
nl,
q = 1e-04,
n.of.archive = 100,
xi = 0.5
)
Generated optimal design parameter value(s) (i.e., a matrix with n.of.ants rows and n.of.design.pars columns)
List of means - coordinates
Rank of the archived values of objective function
Number of ants used in each iteration after the initialization of power analysis for calculating required budget, default value is 10.
Neighborhood of the search area
Locality of the search (0,1), default is 0.0001.
Size of the solution archive, default is 100.
Convergence pressure (0, Inf), suggested: (0, 1), default is 0.5.
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.