| Efficient multi-objective optimization algorithm for hybrid flow shop scheduling problems with setup energy consumptions J Li, H Sang, Y Han, C Wang, K Gao Journal of Cleaner Production 181, 584-598, 2018 | 272 | 2018 |
| An improved fruit fly optimization algorithm for continuous function optimization problems QK Pan, HY Sang, JH Duan, L Gao Knowledge-Based Systems 62, 69-83, 2014 | 263 | 2014 |
| Hybrid artificial bee colony algorithm for a parallel batching distributed flow-shop problem with deteriorating jobs JQ Li, MX Song, L Wang, PY Duan, YY Han, HY Sang, QK Pan IEEE transactions on cybernetics 50 (6), 2425-2439, 2019 | 163 | 2019 |
| Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion HY Sang, QK Pan, JQ Li, P Wang, YY Han, KZ Gao, P Duan Swarm and evolutionary computation 44, 64-73, 2019 | 126 | 2019 |
| An effective modified migrating birds optimization for hybrid flowshop scheduling problem with lot streaming B Zhang, Q Pan, L Gao, X Zhang, H Sang, J Li Applied Soft Computing 52, 14-27, 2017 | 125 | 2017 |
| Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time Y Han, J Li, H Sang, Y Liu, K Gao, Q Pan Applied Soft Computing 93, 106343, 2020 | 107 | 2020 |
| Distributed flow shop scheduling with sequence-dependent setup times using an improved iterated greedy algorithm X Han, Y Han, Q Chen, J Li, H Sang, Y Liu, Q Pan, Y Nojima Complex system modeling and simulation 1 (3), 198-217, 2021 | 104 | 2021 |
| Efficient multi-objective algorithm for the lot-streaming hybrid flowshop with variable sub-lots J Li, X Tao, B Jia, Y Han, C Liu, P Duan, Z Zheng, H Sang Swarm and Evolutionary Computation 52, 100600, 2020 | 88 | 2020 |
| An improved migrating birds optimization for an integrated lot-streaming flow shop scheduling problem T Meng, QK Pan, JQ Li, HY Sang Swarm and Evolutionary Computation 38, 64-78, 2018 | 87 | 2018 |
| An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system J Li, SC Bai, P Duan, H Sang, Y Han, Z Zheng International Journal of Production Research 57 (22), 6922-6942, 2019 | 85 | 2019 |
| A high performing memetic algorithm for the flowshop scheduling problem with blocking Q Pan, L Wang, H Sang, J Li, M Liu IEEE Transactions on Automation Science and Engineering 10 (3), 741-756, 2012 | 83 | 2012 |
| Solving chiller loading optimization problems using an improved teaching‐learning‐based optimization algorithm P Duan, J Li, Y Wang, H Sang, B Jia Optimal Control Applications and Methods 39 (1), 65-77, 2018 | 80 | 2018 |
| An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem HY Sang, PY Duan, JQ Li Swarm and Evolutionary Computation 38, 42-53, 2018 | 74 | 2018 |
| Improved particle swarm optimization algorithm for AGV path planning T Qiuyun, S Hongyan, G Hengwei, W Ping Ieee Access 9, 33522-33531, 2021 | 73 | 2021 |
| A hybrid artificial bee colony algorithm for a flexible job shop scheduling problem with overlapping in operations T Meng, QK Pan, HY Sang International Journal of Production Research 56 (16), 5278-5292, 2018 | 71 | 2018 |
| An efficient optimization algorithm for resource-constrained steelmaking scheduling problems J Li, P Duan, H Sang, S Wang, Z Liu, P Duan Ieee Access 6, 33883-33894, 2018 | 71 | 2018 |
| An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems HY Sang, QK Pan, PY Duan, JQ Li Journal of Intelligent Manufacturing 29, 1337-1349, 2018 | 70 | 2018 |
| Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times L Meng, K Gao, Y Ren, B Zhang, H Sang, Z Chaoyong Swarm and Evolutionary Computation 71, 101058, 2022 | 67 | 2022 |
| An improved artificial bee colony algorithm for the blocking flowshop scheduling problem YY Han, QK Pan, JQ Li, H Sang The International Journal of Advanced Manufacturing Technology 60, 1149-1159, 2012 | 65 | 2012 |
| A hybrid artificial bee colony for optimizing a reverse logistics network system J Li, J Wang, Q Pan, P Duan, H Sang, K Gao, Y Xue Soft Computing 21, 6001-6018, 2017 | 60 | 2017 |
Quan-ke panState Key Laboratory of Synthetical Automation for Process Industries, Northeastern University在 mail.neu.edu.cn 的电子邮件经过验证
