HIGHLIGHTS
- who: Colony Algorithm and colleagues from the International College of Zhengzhou University, Zhengzhou, Henan Province, China have published the Article: Large-Scale Scheduling Model Based on Improved Ant Colony Algorithm, in the Journal: Mobile Information Systems of 31/05/2022
- what: The authors investigate bicycle sharing data in Xiamen.
- how: In this study the XGBoost is used for prediction. Figure 8 shows the experimental comparison between using the improved ant colony algorithm and the basic ant colony algorithm and it can be seen that using the improved ant colony algorithm better path results . . .
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