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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Vydáno v:	IEEE access Ročník 12; s. 8957 - 8969
Hlavní autoři:	Ikeda, Hiroshi, Yamazaki, Takashi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024 IEEE
Témata:	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
On-line přístup:	Získat plný text
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