An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems

Hajara Idris, Absalom E. Ezugwu, Sahalu B. Junaidu, Aderemi O. Adewumi

Open source

DOI: 10.1371/journal.pone.0177567
Published: 2017-05-17
Container: PLOS ONE
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0177567,
  title = {An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems},
  author = {Hajara Idris and Absalom E. Ezugwu and Sahalu B. Junaidu and Aderemi O. Adewumi},
  year = {2017},
  journal = {PLOS ONE},
  doi = {10.1371/journal.pone.0177567},
  url = {https://doi.org/10.1371/journal.pone.0177567}
}

RIS

TY  - JOUR
TI  - An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems
AU  - Hajara Idris
AU  - Absalom E. Ezugwu
AU  - Sahalu B. Junaidu
AU  - Aderemi O. Adewumi
PY  - 2017
JO  - PLOS ONE
DO  - 10.1371/journal.pone.0177567
UR  - https://doi.org/10.1371/journal.pone.0177567
ER  -

APA

Idris, H., Ezugwu, A. E., Junaidu, S. B., & Adewumi, A. O. (2017). An improved ant colony optimization algorithm with fault tolerance for job scheduling in grid computing systems. PLOS ONE. https://doi.org/10.1371/journal.pone.0177567

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crossref · retrieved 2026-11-10T09:36:07.265Z