Abstract
Accurate battlefield collection plays a crucial role in the end of the war. How to effectively improve the ability of accurate battlefield collection has become a hot issue of research. However, the existing support force is limited. To solve the problem, an improved ant algorithm is applied to the path optimization problem of battlefield collection equipment. A model for solving the collection path optimization problem of battlefield collection vehicles was designed, and an example was used to simulate calculations. The final results show that the algorithm is effective and practical, which improves the army’s ability to accurately collect equipment in the modern battlefield.
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Acknowledgment
This work was supported by the Research Program of the Basic Scientific Research of National Defense of China under Grant JCKY2019210B005, JCKY2018204B025,and JCKY2017204B011, the Key Scientific Project Program of National Defense of China under Grant ZQ2019D20401, the Open Program of National Engineering Laboratory for Modeling and Emulation in E-Government, Item number MEL-20-02, and The Foundation strengthening project of China under Grant 2019JCJZZD13300.
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Yang, H., Sun, W., Fu, X., Li, G., Li, L. (2021). Research on Route Optimization of Battlefield Collection Equipment Based on Improved Ant Algorithm. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1451. Springer, Singapore. https://doi.org/10.1007/978-981-16-5940-9_12
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DOI: https://doi.org/10.1007/978-981-16-5940-9_12
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