A New Multi-Objective Genetic Algorithm for Feature Subset Selection in Fatigue Fracture Image Identification
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| Title | A New Multi-Objective Genetic Algorithm for Feature Subset Selection in Fatigue Fracture Image Identification |
| Authors | |
| Abstract | Feature subset selection is the most important and difficult task in the field of fatigue fracture image identification. In this paper, a new method which is hybrid of linear prediction, called LP-Based Multi-Objective Genetic Algorithms (LP-MOGA) is proposed for fatigue fracture feature subset selection. In LP-MOGA, predicted new solutions with elite solutions by liner prediction to improve the local search ability. For fatigue fracture identification, texture character and fractal dimension feature are extracted for original features; and then, feature subset selection is performed by LP-MOGA, in which, the objective functions minimize error identification rate, undetected identification rate and selected featured number; at last, the identification is executed by quadratic distance classifier. Compared with other methods, the experiment results of actual data demonstrate the presented algorithm is effective. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-07-01 |
| Source | Journal of Computers Vol 5, No 7 (2010) |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |