A novel framework for storage assignment optimization inspired by finite element method

Seyed-Kourosh Tabatabaei, Omid Fatahi Valilai, Ali Abedian, Mohammad Khalilzadeh

Open source

DOI: 10.7717/peerj-cs.378
Published: 2021-02-16
Container: PeerJ Computer Science
Publisher: PeerJ
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.7717/peerj-cs.378,
  title = {A novel framework for storage assignment optimization inspired by finite element method},
  author = {Seyed-Kourosh Tabatabaei and Omid Fatahi Valilai and Ali Abedian and Mohammad Khalilzadeh},
  year = {2021},
  journal = {PeerJ Computer Science},
  doi = {10.7717/peerj-cs.378},
  url = {https://doi.org/10.7717/peerj-cs.378}
}

RIS

TY  - JOUR
TI  - A novel framework for storage assignment optimization inspired by finite element method
AU  - Seyed-Kourosh Tabatabaei
AU  - Omid Fatahi Valilai
AU  - Ali Abedian
AU  - Mohammad Khalilzadeh
PY  - 2021
JO  - PeerJ Computer Science
DO  - 10.7717/peerj-cs.378
UR  - https://doi.org/10.7717/peerj-cs.378
ER  -

APA

Tabatabaei, S., Valilai, O. F., Abedian, A., & Khalilzadeh, M. (2021). A novel framework for storage assignment optimization inspired by finite element method. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.378

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crossref · retrieved 2026-11-10T07:20:49.028Z