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Carlos Blanco, Antonio Santos-Olmo and Luis Enrique Sánchez
As the Internet of Things (IoT) becomes more integral across diverse sectors, including healthcare, energy provision and industrial automation, the exposure to cyber vulnerabilities and potential attacks increases accordingly. Facing these challenges, th...
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Aleksey I. Pakhomchik, Vladimir V. Voloshinov, Valerii M. Vinokur and Gordey B. Lesovik
There exists a wide range of constraint programming (CP) problems defined on Boolean functions depending on binary variables. One of the approaches to solving CP problems is using specific appropriate solvers, e.g., SAT solvers. An alternative is using t...
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Bowei Xu, Xiaoyan Liu, Junjun Li, Yongsheng Yang, Junfeng Wu, Yi Shen and Ye Zhou
The uncertainty of the arrival time of trucks has increased the complexity of terminal operations. The truck appointment system (TAS) cannot respond to this problem in time, which can easily cause appointment invalidation and reduce the efficiency of tru...
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Wenxin Qiao, Hao Lu, Yu Lu, Lijie Meng and Yicen Liu
Satellite?terrestrial integrated networks (STINs) are regarded as a promising solution to meeting the demands of global high-speed seamless network access in the future. Software-defined networking and network function virtualization (SDN/NFV) are two co...
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Tomas Vyskocil and Hristo Djidjev
Quantum annealers such as D-Wave machines are designed to propose solutions for quadratic unconstrained binary optimization (QUBO) problems by mapping them onto the quantum processing unit, which tries to find a solution by measuring the parameters of a ...
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Zheng Ji, Xu Cai and Xuyang Lou
This paper presents a quantum-behaved neurodynamic swarm optimization approach to solve the nonconvex optimization problems with inequality constraints. Firstly, the general constrained optimization problem is addressed and a high-performance feedback ne...
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