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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation |
| Number of pages | 4 |
| Publisher | IEEE |
| Publication date | 2017 |
| Pages | 1-4 |
| ISBN (Print) | 9781509065059 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation - Grand Resort Hotel, Limassol, Cyprus Duration: 12 Sept 2017 → 15 Sept 2017 Conference number: 22 https://ieeexplore.ieee.org/xpl/conhome/8233358/proceeding?isnumber=8247555 |
Conference
| Conference | 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation |
|---|---|
| Number | 22 |
| Location | Grand Resort Hotel |
| Country/Territory | Cyprus |
| City | Limassol |
| Period | 12/09/2017 → 15/09/2017 |
| Internet address |