Multi-Objective Optimization Technique Based on QUBO and an Ising Machine

With an increase in the complexity of society, solving multi-objective optimization problems (MOPs) has become crucial. In this study, we introduced a novel method called “quadratic unconstrained binary optimization based on the weighted normal” for solving MOPs using Ising machines, such as quantum...

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Veröffentlicht in:	IEEE access Jg. 12; S. 8957 - 8969
Hauptverfasser:	Ikeda, Hiroshi, Yamazaki, Takashi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 IEEE
Schlagworte:	algorithm Combinatorial analysis combinatorial optimization Complexity Ising model Multi-objective optimization Multiple objective analysis Optimization techniques Pareto optimization Sustainable development
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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