Abstract
In this article we discuss the issue of selecting suitable objective function for Genetic Algorithm to solve an imbalanced classification problem. More precisely, first we discuss the need of specialized objective function to solve a real classification problem from our industrial partner and then we compare the results of our proposed objective function with commonly used candidates to serve this purpose. Our comparison is based on the analysis of real data collected during the quality control stages of the manufacturing process.
Originalsprog | Engelsk |
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Titel | 2017 22nd IEEE International Conference on Emerging Technologies & Factory Automation (EFTA) |
Forlag | IEEE |
Publikationsdato | 2018 |
ISBN (Trykt) | 978-1-5090-6506-6 |
ISBN (Elektronisk) | 978-1-5090-6505-9 |
DOI | |
Status | Udgivet - 2018 |
Begivenhed | IEEE Conference on Emerging Technologies & Factory Automation - Limassol, Cypern Varighed: 12 sep. 2017 → 15 sep. 2017 https://www.etfa2017.org/ |
Konference
Konference | IEEE Conference on Emerging Technologies & Factory Automation |
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Land/Område | Cypern |
By | Limassol |
Periode | 12/09/2017 → 15/09/2017 |
Internetadresse |
Navn | I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings |
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ISSN | 1946-0759 |