Results 21 to 30 of about 516,457 (276)

Adaptive Service Function Chain Scheduling in Mobile Edge Computing via Deep Reinforcement Learning

open access: yesIEEE Access, 2020
MEC (Mobile Edge Computing) provides both IT service environment and cloud computation on the edge of the network. This technology not only minimizes the end-to-end latency but also increases the efficiency of computing.
Tianfeng Wang   +3 more
doaj   +1 more source

PERT scheduling with convex cost functions

open access: yesTheoretical Computer Science, 2003
This paper deals with the problem of finding a minimum cost schedule for a set of dependent activities when a convex cost function is attached to the starting time of each activity. A first optimality necessary and sufficient condition bearing on the head and tail blocks of a schedule is first established. A second such condition that uses the spanning
Chrétienne, Philippe, Sourd, Francis
openaire   +1 more source

Scheduling Problems and Generalized Graph Coloring [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2020
We define a new type of vertex coloring which generalizes vertex coloring in graphs, hypergraphs, andsimplicial complexes. To this coloring there is an associated symmetric function in noncommuting variables for whichwe give a deletion-contraction ...
John Machacek
doaj   +1 more source

Index for task scheduling in phased array radar

open access: yesThe Journal of Engineering, 2019
In the task scheduling problem of phased array radar, the objective function is usually based on the time shifting rate (TSR). However, the TSR cannot achieve expected scheduling performance in non-linear filtering systems.
Yi Duan   +3 more
doaj   +1 more source

Economic Optimal Scheduling of Wind–Photovoltaic-Storage with Electric Vehicle Microgrid Based on Quantum Mayfly Algorithm

open access: yesApplied Sciences, 2022
The effectiveness of energy management systems is a great concern for wind–photovoltaic-storage electric vehicle systems, which coordinate operation optimization and flexible scheduling with the power grid.
Ximu Liu, Mi Zhao, Zihan Wei, Min Lu
doaj   +1 more source

SVM-based Implicit Stochastic Scheduling Mode for Cascade Hydropower Stations

open access: yesMATEC Web of Conferences, 2018
In view of the uncertainty of inflow of cascade reservoirs, an implicit stochastic joint scheduling function model for cascade hydropower stations based on support vector machine (SVM) was established.
Wang Qinhui   +3 more
doaj   +1 more source

STIMULUS FUNCTIONS IN CHAINED FIXED‐INTERVAL SCHEDULES [PDF]

open access: yesJournal of the Experimental Analysis of Behavior, 1962
Pigeons were required to complete three successive fixed‐interval components to obtain food. When the same exteroceptive stimulus was correlated with the three components, responding was positively accelerated between food deliveries. When different exteroceptive stimuli were correlated with each component in a fixed sequence, prolonged pauses ...
R T, KELLEHER, W T, FRY
openaire   +2 more sources

Multi-agent system for dynamic manufacturing system optimization [PDF]

open access: yes, 2008
This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are ...
A.J. Gonzalez   +6 more
core   +1 more source

Delay-Driven Computation Task Scheduling in Multi-Cell Cellular Edge Computing Systems

open access: yesIEEE Access, 2019
This paper studies the joint scheduling of subcarrier, base station, transmit power, and virtual machine in multi-cell cellular edge computing systems to minimize the total delay experienced by tasks of users.
Yuan Zhang, Peng Du
doaj   +1 more source

Sleep Schedules and Daytime Functioning in Adolescents [PDF]

open access: yesChild Development, 1998
Sleep and waking behaviors change significantly during the adolescent years. The objective of this study was to describe the relation between adolescents' sleep/wake habits, characteristics of students (age, sex, school), and daytime functioning (mood, school performance, and behavior).
A R, Wolfson, M A, Carskadon
openaire   +2 more sources

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