Penalty and partitioning techniques to improve performance of QUBO solvers

Quadratic Unconstrained Binary Optimization (QUBO) modeling has become a unifying framework for solving a wide variety of both unconstrained as well as constrained optimization problems. More recently, QUBO (or equivalent −1/+1 Ising Spin) models are a requirement for quantum annealing computers. No...

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Veröffentlicht in:	Discrete optimization Jg. 44; S. 100594
Hauptverfasser:	Verma, Amit, Lewis, Mark
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2022
Schlagworte:	Equality constraint Inequality constraint Nonlinear optimization Pseudo-Boolean optimization Quadratic Unconstrained Binary Optimization Quadratic Unconstrained Binary Optimization Nonlinear optimization Pseudo-Boolean optimization Equality constraint Inequality constraint
ISSN:	1572-5286, 1873-636X
Online-Zugang:	Volltext
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