An improved opposition-based crow search algorithm for biodegradable material classification
The development of a reliable quantitative structure–activity relationship (QSAR) classification model with a small number of molecular descriptors is a crucial step in chemometrics. In this study, an improvement of crow search algorithm (CSA) is proposed by adapting the opposite-based learning (OBL...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Taylor and Francis Group
2022
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| Subjects: | |
| Online Access: | http://eprints.utm.my/103952/ http://dx.doi.org/10.1080/1062936X.2022.2064546 |
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| Institution: | Universiti Teknologi Malaysia |