Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem.

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Ming, Yj., Shang, Qx., Qian, B., Hu, R. (2025). Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem. In: Huang, DS., Pan, Y., Chen, W., Li, B. (eds) Advanced Intelligent Computing Technology and Applications. ICIC 2025. Lecture Notes in Computer Science, vol 15854. Springer, Singapore. https://doi.org/10.1007/978-981-96-9901-8_30

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DOIhttps://doi.org/10.1007/978-981-96-9901-8_30
Published24 July 2025
Publisher NameSpringer, Singapore
Print ISBN978-981-96-9900-1
Online ISBN978-981-96-9901-8
eBook PackagesComputer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science

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[Other] Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem.

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