article · Information Sciences · 2014
Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems
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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
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.
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.
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.
@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}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.