✦ LIBER ✦
Genetic algorithms applied to feature selection in PLS regression: how and when to use them
✍ Scribed by Riccardo Leardi; Amparo Lupiáñez González
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 456 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0169-7439
No coin nor oath required. For personal study only.
✦ Synopsis
Genetic algorithms GA are very useful in solving complex problems of optimization. The selection of the best subset of variables is surely one of them. In this paper, a new approach is proposed, and the positive and negative aspects of the appli-Ž . cation of GA in selecting variables for a partial least squares PLS model are taken into account. Finally, the analysis of the results obtained on several real data sets allows to find a rationale for a sensible application, showing that, if correctly applied, this technique almost always produces very good results.