Artículos con órdenes de acceso público - Quan-ke panMás información
No disponibles en ningún lugar: 119
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
Órdenes: National Natural Science Foundation of China
An effective co-evolutionary artificial bee colony algorithm for steelmaking-continuous casting scheduling
QK Pan
European Journal of Operational Research 250 (3), 702-714, 2016
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
Solving the large-scale hybrid flow shop scheduling problem with limited buffers by a hybrid artificial bee colony algorithm
J Li, Q Pan
Information Sciences 316, 487-502, 2015
Órdenes: National Natural Science Foundation of China
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion
KZ Gao, PN Suganthan, QK Pan, MF Tasgetiren, A Sadollah
Knowledge-based systems 109, 1-16, 2016
Órdenes: National Natural Science Foundation of China
An effective cooperative co-evolutionary algorithm for distributed flowshop group scheduling problems
QK Pan, L Gao, L Wang
IEEE Transactions on Cybernetics 52 (7), 5999-6012, 2020
Órdenes: National Natural Science Foundation of China
A multi-objective cellular grey wolf optimizer for hybrid flowshop scheduling problem considering noise pollution
C Lu, L Gao, Q Pan, X Li, J Zheng
Applied Soft Computing 75, 728-749, 2019
Órdenes: National Natural Science Foundation of China
A three-stage multiobjective approach based on decomposition for an energy-efficient hybrid flow shop scheduling problem
B Zhang, Q Pan, L Gao, LL Meng, XY Li, KK Peng
IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (12), 4984-4999, 2019
Órdenes: National Natural Science Foundation of China
A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process
K Mao, Q Pan, X Pang, T Chai
European Journal of Operational Research 236 (1), 51-60, 2014
Órdenes: National Natural Science Foundation of China
Effective constructive heuristics and meta-heuristics for the distributed assembly permutation flowshop scheduling problem
QK Pan, L Gao, L Xin-Yu, FM Jose
Applied Soft Computing 81, 105492, 2019
Órdenes: National Natural Science Foundation of China
A discrete teaching-learning-based optimisation algorithm for realistic flowshop rescheduling problems
J Li, Q Pan, K Mao
Engineering Applications of Artificial Intelligence 37, 279-292, 2015
Órdenes: National Natural Science Foundation of China
A hybrid fruit fly optimization algorithm for the realistic hybrid flowshop rescheduling problem in steelmaking systems
JQ Li, QK Pan, K Mao
IEEE Transactions on Automation Science and Engineering 13 (2), 932-949, 2015
Órdenes: National Natural Science Foundation of China
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
JP Huang, QK Pan, L Gao
Swarm and Evolutionary Computation 59, 100742, 2020
Órdenes: National Natural Science Foundation of China
An improved migrating birds optimisation for a hybrid flowshop scheduling with total flowtime minimisation
QK Pan, Y Dong
Information Sciences 277, 643-655, 2014
Órdenes: National Natural Science Foundation of China
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Y Li, X Li, L Gao, B Zhang, QK Pan, MF Tasgetiren, L Meng
International Journal of Production Research 59 (13), 3880-3899, 2021
Órdenes: National Natural Science Foundation of China
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
Órdenes: National Natural Science Foundation of China
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times
JP Huang, QK Pan, ZH Miao, L Gao
Engineering Applications of Artificial Intelligence 97, 104016, 2021
Órdenes: National Natural Science Foundation of China
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm
J Li, Q Pan, K Mao, PN Suganthan
Knowledge-Based Systems 72, 28-36, 2014
Órdenes: National Natural Science Foundation of China
An improved fruit fly optimization algorithm for solving the multidimensional knapsack problem
T Meng, QK Pan
Applied Soft Computing 50, 79-93, 2017
Órdenes: National Natural Science Foundation of China
A hybrid iterated greedy algorithm for a crane transportation flexible job shop problem
JQ Li, Y Du, KZ Gao, PY Duan, DW Gong, QK Pan, PN Suganthan
IEEE Transactions on Automation Science and Engineering 19 (3), 2153-2170, 2021
Órdenes: National Natural Science Foundation of China
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