| A novel multi-objective particle swarm optimization with multiple search strategies Q Lin, J Li, Z Du, J Chen, Z Ming European Journal of Operational Research 247 (3), 732-744, 2015 | 261 | 2015 |
| Particle swarm optimization with a balanceable fitness estimation for many-objective optimization problems Q Lin, S Liu, Q Zhu, C Tang, R Song, J Chen, CAC Coello, KC Wong, ... IEEE Transactions on Evolutionary Computation 22 (1), 32-46, 2016 | 258 | 2016 |
| A hybrid path planning method in unmanned air/ground vehicle (UAV/UGV) cooperative systems J Li, G Deng, C Luo, Q Lin, Q Yan, Z Ming IEEE Transactions on Vehicular Technology 65 (12), 9585-9596, 2016 | 252 | 2016 |
| Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations L Cui, G Li, Q Lin, J Chen, N Lu Computers & Operations Research 67, 155-173, 2016 | 212 | 2016 |
| A novel artificial bee colony algorithm with depth-first search framework and elite-guided search equation L Cui, G Li, Q Lin, Z Du, W Gao, J Chen, N Lu Information Sciences 367, 1012-1044, 2016 | 149 | 2016 |
| A hybrid evolutionary immune algorithm for multiobjective optimization problems Q Lin, J Chen, ZH Zhan, WN Chen, CAC Coello, Y Yin, CM Lin, J Zhang IEEE Transactions on Evolutionary Computation 20 (5), 711-729, 2015 | 142 | 2015 |
| Blockchain-based edge computing resource allocation in IoT: A deep reinforcement learning approach Y He, Y Wang, C Qiu, Q Lin, J Li, Z Ming IEEE Internet of Things Journal 8 (4), 2226-2237, 2020 | 136 | 2020 |
| A constrained multiobjective evolutionary algorithm with detect-and-escape strategy Q Zhu, Q Zhang, Q Lin IEEE Transactions on Evolutionary Computation 24 (5), 938-947, 2020 | 130 | 2020 |
| A novel hybrid multi-objective immune algorithm with adaptive differential evolution Q Lin, Q Zhu, P Huang, J Chen, Z Ming, J Yu Computers & Operations Research 62, 95-111, 2015 | 129 | 2015 |
| An external archive-guided multiobjective particle swarm optimization algorithm Q Zhu, Q Lin, W Chen, KC Wong, CAC Coello, J Li, J Chen, J Zhang IEEE transactions on cybernetics 47 (9), 2794-2808, 2017 | 121 | 2017 |
| A ranking-based adaptive artificial bee colony algorithm for global numerical optimization L Cui, G Li, X Wang, Q Lin, J Chen, N Lu, J Lu Information Sciences 417, 169-185, 2017 | 106 | 2017 |
| Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism L Cui, G Li, Z Zhu, Q Lin, KC Wong, J Chen, N Lu, J Lu Information Sciences 422, 122-143, 2018 | 105 | 2018 |
| Simultaneous arithmetic coding and encryption using chaotic maps KW Wong, Q Lin, J Chen IEEE Transactions on Circuits and Systems II: Express Briefs 57 (2), 146-150, 2010 | 105 | 2010 |
| Multimodal multiobjective evolutionary optimization with dual clustering in decision and objective spaces Q Lin, W Lin, Z Zhu, M Gong, J Li, CAC Coello IEEE Transactions on Evolutionary Computation 25 (1), 130-144, 2020 | 102 | 2020 |
| A clustering-based evolutionary algorithm for many-objective optimization problems Q Lin, S Liu, KC Wong, M Gong, CAC Coello, J Chen, J Zhang IEEE Transactions on Evolutionary Computation 23 (3), 391-405, 2018 | 102 | 2018 |
| A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization L Cui, G Li, Z Zhu, Q Lin, Z Wen, N Lu, KC Wong, J Chen Information Sciences 414, 53-67, 2017 | 96 | 2017 |
| A novel micro-population immune multiobjective optimization algorithm Q Lin, J Chen Computers & operations research 40 (6), 1590-1601, 2013 | 87 | 2013 |
| Multifactorial optimization via explicit multipopulation evolutionary framework G Li, Q Lin, W Gao Information Sciences 512, 1555-1570, 2020 | 81 | 2020 |
| A hybrid immune multiobjective optimization algorithm J Chen, Q Lin, Z Ji European Journal of Operational Research 204 (2), 294-302, 2010 | 81 | 2010 |
| A novel hybrid differential evolution algorithm with modified CoDE and JADE G Li, Q Lin, L Cui, Z Du, Z Liang, J Chen, N Lu, Z Ming Applied Soft Computing 47, 577-599, 2016 | 79 | 2016 |
