Search alternatives:
time scheduling » task scheduling (Expand Search), optimal scheduling (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
data fitting » data mining (Expand Search), data hiding (Expand Search)
time scheduling » task scheduling (Expand Search), optimal scheduling (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
data fitting » data mining (Expand Search), data hiding (Expand Search)
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1
A Scatter search algorithm for exam scheduling. (c2006)
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masterThesis -
2
Improvement Algorithm for Limited Space Scheduling
Published 2001“…This paper addresses the combined problem termed “space scheduling” and presents an algorithmic time-space trade-off model for adjusting activity durations and start dates to decrease the need for space over congested time periods. …”
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3
A novel approach for real time flows scheduling
Published 2006“…A plethora of packet-scheduling algorithms have been proposed in the literature in order to meet the stringent time constraints of real time flows at an IP router level. …”
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4
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
Published 2016“…Genetic algorithm was chosen as the main methodology to build resource scheduler. …”
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5
Burst Round Robin as a Proportional-Share Scheduling Algorithm
Published 2020“…In this paper we introduce Burst Round Robin, a proportional-share scheduling algorithm as an attempt to combine the low scheduling overhead of round robin algorithms and favor shortest jobs. …”
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6
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
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doctoralThesis -
7
Simulated annealing and genetic algorithms for exam scheduling. (c1997)
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masterThesis -
8
A method for test scheduling using an evolutionary approach. (c2000)
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masterThesis -
9
Reinforcement R-learning model for time scheduling of on-demand fog placement
Published 2020“…These results demonstrate that our proposed Fog Scheduling Decision model plays a crucial role in the placement of the on-demand fog to the right location at the right time while taking into account the user’s needs.…”
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10
A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995)
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masterThesis -
11
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
Published 2021“…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …”
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12
A distributed genetic algorithm for deterministic and stochastic labor scheduling problems
Published 1999“…In plots of solution quality versus CPU time for the various algorithms evaluated in our study, DGA consistently appeared on the efficient frontier.…”
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13
Scheduling IoT Requests to Minimize Latency in Fog Computing
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doctoralThesis -
14
Power-constrained system-on-a-chip test scheduling using a genetic algorithm
Published 2006“…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. …”
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A utility-based algorithm for joint uplink/downlink scheduling in wireless cellular networks
Published 2012“…In this work, we propose a utility-based joint uplink/downlink scheduling algorithm suitable for wireless services involving pairwise communication among mobile users. …”
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17
Parallel scatter search algorithms for exam timetabling. (c2009)
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masterThesis -
18
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
Published 2019Get full text
doctoralThesis -
19
Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link
Published 2023“…The solution obtained shows that the proposed scheduling algorithm meets the communication system's requirements while conserving power and energy resources.…”
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Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment
Published 2022“…Among these methods, the Heterogeneous Earliest Finish Time (HEFT) algorithm is recognized to produce optimal outcomes in a shorter time period for scheduling tasks in a heterogeneous environment. …”