Titlebook: Combinatorial Optimization and Applications; 14th International C Weili Wu,Zhongnan Zhang Conference proceedings 2020 Springer Nature Switz

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The Smart Grid: Anchor of the Smart Cityxibility in their start times and so can be shifted in order to lower the peak power demand of the schedule. In this work, we consider a version of peak-demand scheduling where jobs are non-preemptible and have precedence constraints (e.g. job . cannot begin until job . has finished). This problem o

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Funding a Smart City: , Concept to Actualitythm is dominated by the number of tasks because of an exponential dependence. We shift this exponential dependency from the number of tasks to a new parameter, which we call .. This novel parameterization enables to reduce the problem of finding an optimal schedule to one of searching for winning st

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Angelo Miglietta,Emanuele Parisiurce. The resource may be distributed arbitrarily among the machines. This distribution is under the control of the scheduler and can be changed over time. Each job . has a processing volume . and a resource requirement .. The latter indicates what fraction of the resource a job requires to run at f

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Shared Administration for Smart Citiesord-of-mouth effect. For product companies, designing effective marketing strategies is important for obtaining profit. However, most existing research focuses on effective influence maximization analysis to disseminate information widely, rather than explicitly incorporating pricing factors into th

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Daniela Ciaffi,Emanuela Saporitocapacities, and positive vertex weights. A path can be considered as a road, an edge length as the distance along the road and a vertex weight as the number of people at the site. An edge capacity limits the number of people that can enter the edge per unit time. In the dynamic flow network, given p

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