A hybrid particle swarm optimisation-genetic algorithm applied to grid scheduling-Reference-Cited by-同舟云学术

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A hybrid particle swarm optimisation-genetic algorithm applied to grid scheduling

Published:2016 Issue:2 Volume:7 Page:113
ISSN:1741-847X
Container-title:International Journal of Grid and Utility Computing
language:en
Short-container-title:IJGUC

Author:

Higashino Wilson A.,Capretz Miriam A.M.,Toledo M. Beatriz F. De,Bittencourt Luiz F.

Publisher

Inderscience Publishers

Subject

Applied Mathematics,Computer Science Applications,Management Information Systems

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Genetic Algorithm based approach for designing multi-state computational grid with cost and bandwidth constraints;J KING SAUD UNIV-COM;2022

2. The Scheduling Algorithms for Two-Stage Grid Models;Lecture Notes in Electrical Engineering;2021

3. Cost effective deadline aware scheduling strategy for workflow applications on virtual machines in cloud computing;Journal of King Saud University - Computer and Information Sciences;2020-07

4. A Modified Genetic Learning PSO for Task Matching in Grid Environment;2018 IEEE Congress on Evolutionary Computation (CEC);2018-07

5. Efficient flow detection and scheduling for SDN-based big data centers;Journal of Ambient Intelligence and Humanized Computing;2018-04-26

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