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| 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. | ||||||
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Page views:: 1412. Submitted: 2013-03-22. Published: 2015-11-24. |
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| Paper: |
A Genetic Algorithm for Selection of Fixed-Size Subsets with Application to Design Problems
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| DOI: |
10.18637/jss.v068.c01
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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. |