| An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints G Zhang, Y Hu, J Sun, W Zhang Swarm and evolutionary computation 54, 100664, 2020 | 153 | 2020 |
| An efficient multiobjective genetic algorithm for mixed-model assembly line balancing problem considering demand ratio-based cycle time W Zhang, M Gen Journal of Intelligent Manufacturing 22 (3), 367-378, 2011 | 77 | 2011 |
| Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem W Zhang, M Gen, J Jo Journal of Intelligent Manufacturing 25, 881-897, 2014 | 75 | 2014 |
| Recent advances in hybrid evolutionary algorithms for multiobjective manufacturing scheduling M Gen, W Zhang, L Lin, YS Yun Computers & Industrial Engineering 112, 616-633, 2017 | 71 | 2017 |
| Hybrid multiobjective evolutionary algorithm with fast sampling strategy-based global search and route sequence difference-based local search for VRPTW W Zhang, D Yang, G Zhang, M Gen Expert Systems with Applications 145, 113151, 2020 | 52 | 2020 |
| A hybrid many-objective evolutionary algorithm for flexible job-shop scheduling problem with transportation and setup times J Sun, G Zhang, J Lu, W Zhang Computers & operations research 132, 105263, 2021 | 50 | 2021 |
| Energy-efficient path planning for a single-load automated guided vehicle in a manufacturing workshop Z Zhang, L Wu, W Zhang, T Peng, J Zheng Computers & Industrial Engineering 158, 107397, 2021 | 41 | 2021 |
| Process planning and scheduling in distributed manufacturing system using multiobjective genetic algorithm W Zhang, M Gen IEEJ Transactions on Electrical and Electronic Engineering 5 (1), 62-72, 2010 | 37 | 2010 |
| An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown G Zhang, X Lu, X Liu, L Zhang, S Wei, W Zhang Expert Systems with Applications 203, 117460, 2022 | 36 | 2022 |
| Multidirection update-based multiobjective particle swarm optimization for mixed no-idle flow-shop scheduling problem W Zhang, W Hou, C Li, W Yang, M Gen Complex System Modeling and Simulation 1 (3), 176-197, 2021 | 33 | 2021 |
| Hybrid multiobjective evolutionary algorithm based on differential evolution for flow shop scheduling problems W Zhang, Y Wang, Y Yang, M Gen Computers & Industrial Engineering 130, 661-670, 2019 | 33 | 2019 |
| An effective hybrid evolutionary algorithm for stochastic multiobjective assembly line balancing problem W Zhang, W Xu, G Liu, M Gen Journal of Intelligent Manufacturing 28, 783-790, 2017 | 33 | 2017 |
| Multi-objective evolutionary algorithm with strong convergence of multi-area for assembly line balancing problem with worker capability W Zhang, W Xu, M Gen Procedia Computer Science 20, 83-89, 2013 | 23 | 2013 |
| A multiobjective genetic algorithm for assembly line balancing problem with worker allocation W Zhang, M Gen, L Lin 2008 IEEE International Conference on Systems, Man and Cybernetics, 3026-3033, 2008 | 22 | 2008 |
| Improved vector evaluated genetic algorithm with archive for solving multiobjective pps problem W Zhang, S Fujimura 2010 International Conference on E-Product E-Service and E-Entertainment, 1-4, 2010 | 21 | 2010 |
| Hybrid multiobjective evolutionary algorithm considering combination timing for multi-type vehicle routing problem with time windows W Zhang, H Li, W Yang, G Zhang, M Gen Computers & Industrial Engineering 171, 108435, 2022 | 18 | 2022 |
| Multiobjective process planning and scheduling using improved vector evaluated genetic algorithm with archive W Zhang, S Fujimura IEEJ transactions on electrical and electronic engineering 7 (3), 258-267, 2012 | 15 | 2012 |
| Incentive-aware virtual machine scheduling in cloud computing H Xu, Y Liu, W Wei, W Zhang The Journal of Supercomputing 74, 3016-3038, 2018 | 14 | 2018 |
| Hybrid multiobjective evolutionary algorithm for assembly line balancing problem with stochastic processing time W Zhang, W Xu, M Gen Procedia Computer Science 36, 587-592, 2014 | 13 | 2014 |
| Energy-saving oriented manufacturing workshop facility layout: A solution approach using multi-objective particle swarm optimization Z Zhang, L Wu, Z Wu, W Zhang, S Jia, T Peng Sustainability 14 (5), 2788, 2022 | 12 | 2022 |
Mitsuo GenFuzzy Logic Systens Institute & Tokyo University of Scienceflsi.or.jp üzerinde doğrulanmış e-posta adresine sahip
