gen.design.pars: Generate optimal design parameters using ant colony...

In odr: Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects

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.

odr documentation built on Aug. 8, 2023, 5:13 p.m.