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Enda Jiang
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2020 – today
- 2021
- [j5]Ling Wang, Jing-jing Wang, Enda Jiang:
Decomposition based multiobjective evolutionary algorithm with adaptive resource allocation for energy-aware welding shop scheduling problem. Comput. Ind. Eng. 162: 107778 (2021) - 2020
- [j4]Enda Jiang, Ling Wang:
Multi-objective optimization based on decomposition for flexible job shop scheduling under time-of-use electricity prices. Knowl. Based Syst. 204: 106177 (2020) - [j3]Enda Jiang, Ling Wang, Zhiping Peng:
Solving energy-efficient distributed job shop scheduling via multi-objective evolutionary algorithm with decomposition. Swarm Evol. Comput. 58: 100745 (2020)
2010 – 2019
- 2019
- [j2]Enda Jiang, Ling Wang:
An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop scheduling problem with sequence-dependent setup time. Int. J. Prod. Res. 57(6): 1756-1771 (2019) - 2018
- [c2]Enda Jiang, Ling Wang:
A Modified MOEA/D for Energy-efficient Flexible Job Shop Scheduling Problem. IEEM 2018: 1476-1480 - 2017
- [c1]Enda Jiang, Ling Wang, Jiawen Lu:
Modified multiobjective evolutionary algorithm based on decomposition for low-carbon scheduling of distributed permutation flow-shop. SSCI 2017: 1-7 - 2016
- [j1]Min Han, Xue Yang, Enda Jiang:
An Extreme Learning Machine based on Cellular Automata of edge detection for remote sensing images. Neurocomputing 198: 27-34 (2016)
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