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1
An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling
منشور في 2016"…Several nonlinear optimization models were developed for this purpose assuming uniform resource availability and sequence based project tasks. The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …"
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2
GENETIC SCHEDULING OF TASK GRAPHS
منشور في 2020"…A genetic algorithm for scheduling computational task graphs is presented. …"
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3
GIJA:Enhanced geyser‐inspired Jaya algorithm for task scheduling optimization in cloud computing
منشور في 2024"…In this article, we introduce GIJA (Geyser‐inspired Jaya Algorithm), a novel optimization approach tailored for task scheduling in cloud computing environments. …"
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4
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6
Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment
منشور في 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. …"
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7
Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center
منشور في 2024احصل على النص الكامل
doctoralThesis -
8
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019الموضوعات: احصل على النص الكامل
doctoralThesis -
9
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10
A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments
منشور في 2020"…Abstract This paper applies a simulated evolution (SE) approach to the problem of matching and scheduling dependent tasks in a heterogeneous suite of computers interconnected via a high-speed network. …"
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11
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017الموضوعات: احصل على النص الكامل
doctoralThesis -
12
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
13
Efficient Dynamic Cost Scheduling Algorithm for Financial Data Supply Chain
منشور في 2021"…An iterative dynamic scheduling algorithm (DCSDBP) was developed to address the data batching process. …"
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14
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15
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16
Optimizing Energy Consumption In Cloud Datacenters
منشور في 2024احصل على النص الكامل
doctoralThesis -
17
CoLoSSI: Multi-Robot Task Allocation in Spatially-Distributed and Communication Restricted Environments
منشور في 2024"…We propose a cooperative, load-balancing task allocation and scheduling algorithm based on sequential single-item auctions (CoLoSSI) that explicitly considers the non-atomicity of tasks, promotes synergies between agents, and enables cooperation while maintaining computational tractability. …"
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18
Optimizing transparent photovoltaic integration with battery energy storage systems in greenhouse: a daily light integral-constrained economic analysis considering BESS degradation
منشور في 2025"…Employing an enhanced Firefly Algorithm (FA) to optimize the PV cover ratio and BESS capacity, the analysis aims to maximize the Net Present Value (NPV) over a 25-year period, serving as the primary economic parameter. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
19
Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria
منشور في 2020"…In the first step, the MATLAB environment was used to run simulations and optimize the system via the genetic algorithm. Then, techno-economic and emissions analysis was carried out in the second step to compare the proposed system to the existing traditional modes of rural electrification in sub-Saharan Africa, namely, the grid-extension and diesel generator. …"
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20
Optimizing transparent photovoltaic integration with battery energy storage systems in greenhouse: a daily light integral-constrained economic analysis considering BESS degradation
منشور في 2025"…Employing an enhanced Firefly Algorithm (FA) to optimize the PV cover ratio and BESS capacity, the analysis aims to maximize the Net Present Value (NPV) over a 25-year period, serving as the primary economic parameter. …"