Optimization of Multi-equipment Intelligent Scheduling in Automated Terminals Integrating Quantum Co-evolution and Deep Learning

Zekai Wang; Xiaoning Zhu; Wang Li

doi:10.1007/978-981-96-3969-4_15

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Optimization of Multi-equipment Intelligent Scheduling in Automated Terminals Integrating Quantum Co-evolution and Deep Learning

Zekai Wang Xiaoning Zhu Wang Li

Year: 2025 Lecture notes in electrical engineering Pages: 135-141 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-96-3969-4_15

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Keywords:

Computer science Scheduling (production processes) Distributed computing Quantum Computer architecture Artificial intelligence Engineering Operations management Physics

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Maritime Ports and Logistics

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Transportation Planning and Optimization

Social Sciences → Social Sciences → Transportation

Transportation and Mobility Innovations

Physical Sciences → Engineering → Automotive Engineering

Optimization of Multi-equipment Intelligent Scheduling in Automated Terminals Integrating Quantum Co-evolution and Deep Learning

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