Solving Vehicle Routing Problem Using Quantum Approximate Optimization Algorithm

Intelligent transportation systems (ITS) are a critical component of Industry 4.0 and 5.0, particularly having applications in logistic management. One of their crucial utilization is in supply-chain management and scheduling for optimally routing transportation of goods by vehicles at a given set o...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 24; H. 7; S. 7564 - 7573
Hauptverfasser:	Azad, Utkarsh, Behera, Bikash K., Ahmed, Emad A., Panigrahi, Prasanta K., Farouk, Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation algorithms combinatorial optimization Critical components Industrial applications Industry 4.0 Intelligent transportation systems Ising model Optimization Optimization algorithms Program processors quantum approximate algorithms Quantum computing Qubit Qubits (quantum computing) Routing Supply chains Traffic management variational quantum algorithms Vehicle routing Vehicle routing problem
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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