بدائل البحث:
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
using algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
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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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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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Proactive Fault Tolerance and Minimizing Task Execution Failure in A Cloud Data Center
منشور في 2024احصل على النص الكامل
doctoralThesis -
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10
Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment
منشور في 2019الموضوعات: احصل على النص الكامل
doctoralThesis -
11
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
منشور في 2018"…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …"
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احصل على النص الكامل
احصل على النص الكامل
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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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14
An evolutionary algorithm for solving the geometrically constrained site layout problem
منشور في 2017"…This paper presents an investigation of applying an evolutionary approach to optimally solve the aforementioned layout problem. The proposed algorithm is two-phases: an initialization phase that generates an initial population of layouts through a sequence of mutation operations, and a reproduction phase that evolve the layouts generated in phase one through a sequence of genetic operations aiming at finding an optimal layout. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
15
Optimizing Energy Consumption of Cloud Computing IaaS
منشور في 2017الموضوعات: احصل على النص الكامل
doctoralThesis -
16
Efficient convex-elastic net algorithm to solve the Euclideantraveling salesman problem
منشور في 1998"…This paper describes a hybrid algorithm that combines an adaptive-type neural network algorithm and a nondeterministic iterative algorithm to solve the Euclidean traveling salesman problem (E-TSP). …"
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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities
منشور في 2002"…This paper presents an investigation of the applicability of a genetic approach for solving the construction site layout problem. This problem involves coordinating the use of limited site space to accommodate temporary facilities so that transportation cost of materials is minimized. …"
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احصل على النص الكامل
احصل على النص الكامل
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19
Efficient Dynamic Cost Scheduling Algorithm for Data Batch Processing
منشور في 2016احصل على النص الكامل
doctoralThesis -
20
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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article