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Shen, L., Dauzère-Pérès, S., Neufeld, J. (2022), Corrigendum to: “Solving the flexible job shop scheduling problem with sequence-dependent setup times”, European Journal of Operational Research, Vol. 296 (2), p. 748.

Mönch, L., Shen, L. (2021), Parallel machine scheduling with the total weighted delivery time performance measure in distributed manufacturing, Computers & Operations Research, Vol. 127, 105126.

Ding, J., Schulz, S., Shen, L., Buscher, U., Lü, Z. (2021), Energy aware scheduling in flexible flow shops with hybrid particle swarm optimization, Computers and Operations Research, Computers & Operations Research, Vol. 125, 105088.

Maecker, S., Shen, L. (2020), Solving parallel machine problems with delivery times and tardiness objectives, Annals of Operations Research, Vol. 285 (1-2), pp. 315–334.

Ding, J., Shen, L., Lü, Z., Xu, L., Benlic, U. (2020), A hybrid memetic algorithm for the parallel machine scheduling problem with job deteriorating effects, IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 4 (3), pp. 385-397.

Schulz, S., Buscher, U., Shen, L. (2020), Multi-objective hybrid flow shop scheduling with variable discrete production speed levels and time-of-use energy prices, Journal of Business Economics : JBE = Zeitschrift für Betriebswirtschaft : ZfB, Vol. 90 (9), pp. 1315–1343.

Ding, J., Shen, L., Lü, Z., Peng, B. (2019), Parallel machine scheduling with completion-time-based criteria and sequence-dependent deterioration, Computers & Operations Research, Vol. 103, pp. 35-45.