Results 41 to 50 of about 43,906 (221)
Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer
Frontiers in Physics, 2019 The Fujitsu Digital Annealer is designed to solve fully connected quadratic unconstrained binary optimization (QUBO) problems. It is implemented on application-specific CMOS hardware and currently solves problems of up to 1,024 variables.
Maliheh Aramon +7 more
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A METHOD FOR SOLVING THE PROCUREMENT OPTIMIZATION PROBLEM BASED ON INVERSE CALCULATIONS [PDF]
Proceedings on Engineering Sciences, 2020 The paper describes a method for solving the procurement optimization problem based on inverse calculations. The method involves solving the unconstrained optimization problem and adjusting the obtained values of arguments subject to the constraint ...
Ekaterina Gribanova
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Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization [PDF]
Journal of Heuristics, 2011 Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape decomposition of a combinatorial optimization problem is a useful tool for understanding the problem.
Francisco Chicano, Enrique Alba 0001
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Multi-Objective Optimization Technique Based on QUBO and an Ising Machine
IEEE AccessWith 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 ...
Hiroshi Ikeda, Takashi Yamazaki
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Solving the Traveling Salesman Problem on the D-Wave Quantum Computer
Frontiers in Physics, 2021 The traveling salesman problem is a well-known NP-hard problem in combinatorial optimization. This paper shows how to solve it on an Ising Hamiltonian based quantum annealer by casting it as a quadratic unconstrained binary optimization (QUBO) problem ...
Siddharth Jain
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Power Network Optimization: A Quantum Approach
IEEE Access, 2023 Optimization of electricity surplus is a crucial element for transmission power networks since it leads to reducing costs as well as increasing efficiency across the network as a whole.
Giuseppe Colucci +2 more
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Gaussian Mean Fields Lattice Gas
, 2018 We study rigorously a lattice gas version of the Sherrington-Kirckpatrick spin glass model. In discrete optimization literature this problem is known as Unconstrained Binary Quadratic Programming (UBQP) and it belongs to the class NP-hard.
Scoppola, Benedetto, Troiani, Alessio
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S-Lemma with Equality and Its Applications [PDF]
, 2015 Let $f(x)=x^TAx+2a^Tx+c$ and $h(x)=x^TBx+2b^Tx+d$ be two quadratic functions having symmetric matrices $A$ and $B$. The S-lemma with equality asks when the unsolvability of the system $f(x)
R. L. Sheu +6 more
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Advanced Science, EarlyView.A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie +7 more
wiley +1 more source
IEEE AccessIsing machines, including quantum annealing machines, are promising next-generation computers for combinatorial optimization problems. However, due to hardware limitations, most Ising-type hardware can only solve objective functions expressed in linear ...
Kazuki Ikeuchi +2 more
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