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Efficient Logistics Path Optimization and Scheduling Using Deep Reinforcement Learning and Convolutional Neural Networks

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Publicado en:Informatica vol. 49, no. 16 (Mar 2025), p. 151-171
Autor principal: Yang, Yan
Otros Autores: Wang, Kang
Publicado:
Slovenian Society Informatika / Slovensko drustvo Informatika
Materias:
Urban environments
Deep learning
Success
Traffic
Suburban areas
Artificial neural networks
Machine learning
Electronic commerce
Heuristic methods
Efficiency
Mathematical programming
Scheduling
Datasets
Geography
Genetic algorithms
Shortest-path problems
Artificial intelligence
Planning
Neural networks
Decision making
Optimization
Supply chains
Linear programming
Logistics
Completion time
Traveling salesman problem
Optimization algorithms
Acceso en línea:Citation/Abstract
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