Results 11 to 20 of about 61,394 (313)

Dynamically Scheduling VLIW Instructions [PDF]

open access: yesJournal of Parallel and Distributed Computing, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alberto Ferreira de Souza, Peter Rounce
openaire   +3 more sources

DYNAMICAL CONCURRENT SCHEDULES [PDF]

open access: yesJournal of the Experimental Analysis of Behavior, 2003
Previous work on the matching law has predominantly focused on the molar effects of the contingency by examining only one reinforcer ratio for extended periods. Responses are distributed as a function of reinforcer ratios under these static conditions. But the outcome under a dynamic condition in which reinforcer ratios change continuously has not been
William L, Palya, Robert W, Allan
openaire   +2 more sources

Efficiency-Oriented Production Scheduling Scheme: An Ant Colony System Method

open access: yesIEEE Access, 2020
During the real production system, the scheduling scheme change is mostly changed by dynamic events or new tasks. Due to the different urgency degrees of dynamic events, the corresponding scheduling methods should be adopted to ensure the production ...
Yi Wan   +4 more
doaj   +1 more source

Dynamic Windows Scheduling with Reallocation [PDF]

open access: yesACM Journal of Experimental Algorithmics, 2014
We consider the Windows Scheduling (WS) problem, which is a restricted version of Unit-Fractions Bin Packing, and it is also called Inventory Replenishment in the context of Supply Chain. In brief, WS problem is to schedule the use of communication channels to clients. Each client c i
Martin Farach-Colton   +3 more
openaire   +3 more sources

A Hyper Heuristic Algorithm Based Genetic Programming for Steel Production Scheduling of Cyber-Physical System-ORIENTED

open access: yesMathematics, 2021
Intelligent manufacturing is the trend of the steel industry. A cyber-physical system oriented steel production scheduling system framework is proposed. To make up for the difficulty of dynamic scheduling of steel production in a complex environment and ...
Xiaowu Chen   +4 more
doaj   +1 more source

Dynamic Scheduling Strategy of NFV Mimic Defense Architecture Based on Evolutionary Game [PDF]

open access: yesJisuanji gongcheng, 2022
Constructing a Network Functions Virtualization(NFV) mimic defense architecture can break the unequal pattern of attack and defense with defense lagging behind attack, where the key implementation technology is the dynamic scheduling strategy.However ...
ZHANG Qingqing, TANG Hongbo, YOU Wei, PU Liming
doaj   +1 more source

A Reinforcement Learning Approach to Dynamic Scheduling in a Product-Mix Flexibility Environment

open access: yesIEEE Access, 2020
Machine bottlenecks, resulting from shifting and unbalanced machine loads caused by resource capacity limitations, impair product-mix flexibility production systems.
Yeou-Ren Shiue   +2 more
doaj   +1 more source

DPS - dynamic parallel schedules [PDF]

open access: yesEighth International Workshop on High-Level Parallel Programming Models and Supportive Environments, 2003. Proceedings., 2003
Dynamic Parallel Schedules (DPS) is a high-level framework for developing parallel applications on distributed memory computers (e.g. clusters of PCs). Its model relies on compositional customizable split-compute-merge graphs of operations (directed acyclic flow graphs).
Sebastian Gerlach, Roger D. Hersch
openaire   +1 more source

Dynamic scheduling method for data relay satellite networks considering hybrid system disturbances

open access: yesComplex & Intelligent Systems, 2023
System disturbances, such as the change of required service durations, the failure of resources, and temporary tasks during the scheduling process of data relay satellite network (DRSN), are difficult to be predicted, which may lead to unsuccessful ...
Zongling Li   +4 more
doaj   +1 more source

Dynamic Scheduling of Crane by Embedding Deep Reinforcement Learning into a Digital Twin Framework

open access: yesInformation, 2022
This study proposes a digital twin (DT) application framework that integrates deep reinforcement learning (DRL) algorithms for the dynamic scheduling of crane transportation in workshops.
Zhenyu Xu   +3 more
doaj   +1 more source

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