Results 181 to 190 of about 43,906 (221)

An AIC-type information criterion evaluating theory-based hypotheses for contingency tables. [PDF]

Behav Res Methods
Altinisik Y, Hessels RS, Van Lissa CJ, Kuiper RM.   +3 more
europepmc   +1 more source

An improved material-inspired generation algorithm for load frequency control in EV-integrated power systems. [PDF]

Sci Rep
Almutairi SZ, Ginidi AR.
europepmc   +1 more source

Quantum annealing-based route optimization for commercial AGV operating systems in large-scale logistics warehouses. [PDF]

Sci Rep
Quang TN, Matsuyama K, Shimizu K, Sugano H, Kurimoto E, Miki M, Suzuki J, Chen Z, Waidyasooriya HM, Hariyama M, Hitomi M, Sawamura K, Ohzeki M.   +12 more
europepmc   +1 more source

Digital Annealer for quadratic unconstrained binary optimization: A comparative performance analysis

Applied Soft Computing Journal, 2022
Digital Annealer (DA) is a computer architecture designed for tackling combinatorial optimization problems formulated as quadratic unconstrained binary optimization (QUBO) models. In this paper, we present the results of an extensive computational study to evaluate the performance of DA in a systematic way in comparison to multiple state-of-the-art ...
Oylum Şeker, Merve Bodur
exaly   +3 more sources

Quadratic unconstrained binary optimization problem preprocessing: Theory and empirical analysis [PDF]

Networks, 2017
The Quadratic Unconstrained Binary Optimization problem (QUBO) has become a unifying model for representing a wide range of combinatorial optimization problems, and for linking a variety of disciplines that face these problems. A new class of quantum annealing computer that maps QUBO onto a physical qubit network structure with specific size and edge ...
Mark Lewis, Fred Glover
exaly   +3 more sources

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Spectral bounds for unconstrained (−1,1)-quadratic optimization problems

European Journal of Operational Research, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José Neto
exaly   +3 more sources

Extremal Optimization for Quadratic Unconstrained Binary Problems

Physics Procedia, 2015
AbstractWe present an implementation of τ-EO for quadratic unconstrained binary optimization (QUBO) problems. To this end, we transform modify QUBO from its conventional Boolean presentation into a spin glass with a random external field on each site.
Stefan Boettcher
exaly   +2 more sources

Probabilistic reasoning as quadratic unconstrained binary optimization

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022
Probabilistic 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).
openaire   +2 more sources