|Authors:||Mark A. Wolters|
|Title:||A Genetic Algorithm for Selection of Fixed-Size Subsets with Application to Design Problems|
|Abstract:||The R function kofnGA conducts a genetic algorithm search for the best subset of k items from a set of n alternatives, given an objective function that measures the quality of a subset. The function fills a gap in the presently available subset selection software, which typically searches over a range of subset sizes, restricts the types of objective functions considered, or does not include freely available code. The new function is demonstrated on two types of problem where a fixed-size subset search is desirable: design of environmental monitoring networks, and D-optimal design of experiments. Additionally, the performance is evaluated on a class of constructed test problems with a novel design that is interesting in its own right.|
Page views:: 915. Submitted: 2013-03-22. Published: 2015-11-24.
A Genetic Algorithm for Selection of Fixed-Size Subsets with Application to Design Problems
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.