Binary Unconstrained Quadratic Optimization Problem
2013Gary A. Kochenberger +2 more
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A Collaborative Neurodynamic Algorithm for Quadratic Unconstrained Binary Optimization
IEEE Transactions on Emerging Topics in Computational IntelligenceQuadratic unconstrained binary optimization (QUBO) is a typical combinatorial optimization problem with widespread applications in science, engineering, and business.
Hongzong Li, Jun Wang
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Quadratic Unconstrained Binary Formulation for Traffic Signal Optimization on Real-World Maps
Journal of the Physical Society of Japan, 2023The D-Wave quantum annealing machine can quickly find the optimal solution for quadratic unconstrained binary optimization (QUBO). One of the applications where the use of quantum annealing is desired is in problems requiring rapid calculations. One such
Reo Shikanai +2 more
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Enhancing Quantum Algorithms for Quadratic Unconstrained Binary Optimization via Integer Programming
ACM Transactions on Quantum Computing, 2023To date, research in quantum computation promises potential for outperforming classical heuristics in combinatorial optimization. However, when aiming at provable optimality, one has to rely on classical exact methods like integer programming.
Friedrich Wagner +2 more
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Solving Quadratic Unconstrained Binary Optimization with Collaborative Spiking Neural Networks
2022 IEEE International Conference on Rebooting Computing (ICRC), 2022Quadratic Unconstrained Binary Optimization (QUBO) problem becomes an attractive and valuable optimization problem formulation in that it can easily transform into a variety of other combinatorial optimization problems such as Graph/number Partition, Max-
Yan Fang, Ashwin Sanjay Lele
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Spectral bounds for unconstrained (−1,1)-quadratic optimization problems
European Journal of Operational Research, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ben-Ameur, Walid, Neto, José
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Testing optimality for quadratic 0?1 unconstrained problems
ZOR Zeitschrift f�r Operations Research Mathematical Methods of Operations Research, 1995Summary: This paper analyses a necessary and sufficient condition for quadratic pseudo-Boolean unconstrained problems. It is proved that in general testing any necessary and sufficient optimality condition is a difficult task for any NP-hard problem. An \(\varepsilon\)-optimality condition is derived together with an approximation scheme to test it.
Carraresi, Paolo +2 more
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Probabilistic reasoning as quadratic unconstrained binary optimization
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022Probabilistic reasoning is an important tool for using uncertainty in AI, especially for automated reasoning. Partial probability assessments are a way of expressing partial probabilistic knowledge on a set of events. These assessments contain only the information about "interesting"events (hence it can be easily assessed by an expert).
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An encoding of argumentation problems using quadratic unconstrained binary optimization
Quantum Machine IntelligenceIn this paper, we develop a way to encode several NP-Complete problems in Abstract Argumentation to Quadratic Unconstrained Binary Optimization (QUBO) problems.
Marco Baioletti, Francesco Santini
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Sufficient optimal conditions for unconstrained quadratic binary problems
12th International Symposium on Operations Research and its Applications in Engineering, Technology and Management (ISORA 2015), 2015In this article, we present several sufficient optimal conditions for unconstrained quadratic binary problems, which can be applied in algorithms combining with SDP relaxations in branch-and-bound approaches for the primal problem. These optimal conditions can work for many situations when the Lagrangian duality gap is not zero.
null Liu Liu +2 more
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