Solving the resource constrained project scheduling problem with quantum annealing

Quantum annealing emerges as a promising approach for tackling complex scheduling problems such as the resource-constrained project scheduling problem (RCPSP). This study represents the first application of quantum annealing to solve the RCPSP, analyzing 12 well-known mixed integer linear programmin...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 16784 - 23
Hauptverfasser:	Pérez Armas, Luis Fernando, Creemers, Stefan, Deleplanque, Samuel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 22.07.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705/1041 639/705/1042 639/705/117 639/766/483/481 Computer Science Computers Energy Humanities and Social Sciences Linear programming multidisciplinary Operations Research Optimization techniques Project management Quantum annealing Quantum computing Quantum optimization Quantum physics Resource constrained project scheduling problem Scheduling Science Science (multidisciplinary) Resource constrained project scheduling problem Quantum annealing Quantum optimization
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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