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article · Information Sciences · 2014

Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems

Xiaoning Shen, Xin Yao

Cited by 229Open access

Abstract

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Cite this paper

APA 7

Shen, X., & Yao, X. (2014). Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems. Information Sciences, 298, 198–224. https://doi.org/10.1016/j.ins.2014.11.036

MLA 9

Shen, Xiaoning, and Xin Yao. “Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems.” Information Sciences, vol. 298, 2014, pp. 198–224, https://doi.org/10.1016/j.ins.2014.11.036.

Chicago

Shen, Xiaoning, and Xin Yao. 2014. “Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems.” Information Sciences 298: 198–224. https://doi.org/10.1016/j.ins.2014.11.036.

Harvard

Shen, X. and Yao, X. (2014) ‘Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems’, Information Sciences, 298, pp. 198–224. Available at: https://doi.org/10.1016/j.ins.2014.11.036.

BibTeX
@article{shen2014mathematical,
  title = {{Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems}},
  author = {Shen, Xiaoning and Yao, Xin},
  journal = {Information Sciences},
  volume = {298},
  pages = {198--224},
  year = {2014},
  doi = {10.1016/j.ins.2014.11.036}
}

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