| Differential evolution algorithm with ensemble of parameters and mutation strategies R Mallipeddi, PN Suganthan, QK Pan, MF Tasgetiren Applied soft computing 11 (2), 1679-1696, 2011 | 1546 | 2011 |
| A discrete artificial bee colony algorithm for the lot-streaming flow shop scheduling problem QK Pan, MF Tasgetiren, PN Suganthan, TJ Chua Information sciences 181 (12), 2455-2468, 2011 | 774 | 2011 |
| A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem QK Pan, MF Tasgetiren, YC Liang Computers & Operations Research 35 (9), 2807-2839, 2008 | 625 | 2008 |
| A self-adaptive global best harmony search algorithm for continuous optimization problems QK Pan, PN Suganthan, MF Tasgetiren, JJ Liang Applied Mathematics and Computation 216 (3), 830-848, 2010 | 494 | 2010 |
| A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems K Gao, Z Cao, L Zhang, Z Chen, Y Han, Q Pan IEEE/CAA Journal of Automatica Sinica 6 (4), 904-916, 2019 | 490 | 2019 |
| Iterated Greedy methods for the distributed permutation flowshop scheduling problem R Ruiz, QK Pan, B Naderi Omega 83, 213-222, 2019 | 393 | 2019 |
| A discrete differential evolution algorithm for the permutation flowshop scheduling problem QQ Pan, MF Tasgetiren, YC Liang Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 392 | 2007 |
| A discrete artificial bee colony algorithm for the multi-objective flexible job-shop scheduling problem with maintenance activities JQ Li, QK Pan, MF Tasgetiren Applied Mathematical Modelling 38 (3), 1111-1132, 2014 | 330 | 2014 |
| An effective hybrid tabu search algorithm for multi-objective flexible job-shop scheduling problems J Li, Q Pan, YC Liang Computers & Industrial Engineering 59 (4), 647-662, 2010 | 309 | 2010 |
| Pareto-based discrete artificial bee colony algorithm for multi-objective flexible job shop scheduling problems JQ Li, QK Pan, KZ Gao The International Journal of Advanced Manufacturing Technology 55, 1159-1169, 2011 | 305 | 2011 |
| A discrete artificial bee colony algorithm for the total flowtime minimization in permutation flow shops MF Tasgetiren, QK Pan, PN Suganthan, AHL Chen Information sciences 181 (16), 3459-3475, 2011 | 300 | 2011 |
| Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm C Lu, L Gao, X Li, Q Pan, Q Wang Journal of cleaner production 144, 228-238, 2017 | 299 | 2017 |
| A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems L Wang, QK Pan, PN Suganthan, WH Wang, YM Wang Computers & Operations Research 37 (3), 509-520, 2010 | 295 | 2010 |
| Flexible job-shop rescheduling for new job insertion by using discrete Jaya algorithm K Gao, F Yang, MC Zhou, Q Pan, PN Suganthan IEEE transactions on cybernetics 49 (5), 1944-1955, 2018 | 281 | 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 | 281 | 2014 |
| Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem QK Pan, L Gao, L Wang, J Liang, XY Li Expert systems with applications 124, 309-324, 2019 | 261 | 2019 |
| A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems QK Pan, L Wang, B Qian Computers & Operations Research 36 (8), 2498-2511, 2009 | 243 | 2009 |
| A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation QK Pan, L Wang, JQ Li, JH Duan Omega 45, 42-56, 2014 | 242 | 2014 |
| An effective artificial bee colony algorithm for a real-world hybrid flowshop problem in steelmaking process QK Pan, L Wang, K Mao, JH Zhao, M Zhang IEEE Transactions on Automation Science and Engineering 10 (2), 307-322, 2012 | 233 | 2012 |
| Queuing search algorithm: A novel metaheuristic algorithm for solving engineering optimization problems J Zhang, M Xiao, L Gao, Q Pan Applied Mathematical Modelling 63, 464-490, 2018 | 232 | 2018 |
