Multiple equipment scheduling and routing for container terminals using quantum-inspired deep learning

JOURNAL ARTICLE

Year: 2025 Journal: Applied Soft Computing Vol: 189 Pages: 114530-114530 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2025.114530

Keywords:

Scheduling (production processes) Deep learning Container (type theory) Routing (electronic design automation) Job shop scheduling

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Software-Defined Networks and 5G

Physical Sciences → Computer Science → Computer Networks and Communications

Maritime Ports and Logistics

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

IoT and Edge/Fog Computing

Physical Sciences → Computer Science → Computer Networks and Communications