A learning-driven multi-objective cooperative artificial bee colony algorithm for distributed flexible job shop scheduling problems with preventive maintenance and …
In recent years, distributed production scheduling problems receive much attention from
both scholars and practicers. Nevertheless, existing research on such problems commonly …
both scholars and practicers. Nevertheless, existing research on such problems commonly …
Theoretical analysis and methods of rapid evaluation: Solving the blocking flowshop group scheduling problem with the total flow time and total tardiness time criteria
For the blocking flowshop group scheduling problem (BFGSP), this study addresses its high
computational burden associated with insertion operations due to over-much objective …
computational burden associated with insertion operations due to over-much objective …
A multi-strategy fruit fly optimization algorithm for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
C Zhao, L Wu - Applied Soft Computing, 2024 - Elsevier
Distributed manufacturing has become one of the mainstream manufacturing modes today
and is widely present in industries such as aviation and electronics. However, in actual …
and is widely present in industries such as aviation and electronics. However, in actual …
An iterated greedy algorithm with acceleration of job allocation probability for distributed heterogeneous permutation flowshop scheduling problem
Distributed manufacturing paradigm is becoming one of the dominant manufacturing models
today. Heterogeneities between factories exist in fact due to the differences in process …
today. Heterogeneities between factories exist in fact due to the differences in process …
A biogeography-based optimization algorithm with local search for large-scale heterogeneous distributed scheduling with multiple process plans
Y Zhang, X Gu - Neurocomputing, 2024 - Elsevier
Since modern production mode has shifted from a single factory to a multi-factory production
network, distributed scheduling has been derived. Distributed scheduling problem (DSP) is …
network, distributed scheduling has been derived. Distributed scheduling problem (DSP) is …
A multi-objective artificial bee colony algorithm for single machine scheduling with family setup under TOU tariffs
L Xue, X Wang - International Journal of Production Research, 2024 - Taylor & Francis
Time-of-use (TOU) electricity tariffs have been widely implemented in the manufacturing
industry in many countries. This paper investigates a single machine scheduling problem …
industry in many countries. This paper investigates a single machine scheduling problem …
Ensemble evolutionary algorithms equipped with Q‐learning strategy for solving distributed heterogeneous permutation flowshop scheduling problems considering …
A distributed heterogeneous permutation flowshop scheduling problem with sequence‐
dependent setup times (DHPFSP‐SDST) is addressed, which well reflects real‐world …
dependent setup times (DHPFSP‐SDST) is addressed, which well reflects real‐world …
An improved fruit fly optimization algorithm with Q-learning for solving distributed permutation flow shop scheduling problems
C Zhao, L Wu, C Zuo, H Zhang - Complex & Intelligent Systems, 2024 - Springer
The distributed permutation flow shop scheduling problem (DPFSP) is one of the hottest
issues in the context of economic globalization. In this paper, a Q-learning enhanced fruit fly …
issues in the context of economic globalization. In this paper, a Q-learning enhanced fruit fly …
A feedback-based artificial bee colony algorithm for energy-efficient flexible flow shop scheduling problem with batch processing machines
J Wang, H Tang, D Lei - Applied Soft Computing, 2024 - Elsevier
Energy-efficient flexible flow shop scheduling problem (EFFSP) and parallel batch
processing machines (BPM) scheduling problem have been extensively studied; however …
processing machines (BPM) scheduling problem have been extensively studied; however …
Hybrid Variable Neighborhood Search Algorithm for the Multi-objective Distributed Permutation Flowshop Scheduling Problem with Sequence-Dependent Setup …
M She, F Qiao, Y Ma, J Wang, J Ai… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper addresses the multi-objective distributed permutation flowshop scheduling
problem with sequence-dependent setup times (MODPFSP_SDST), whose optimization …
problem with sequence-dependent setup times (MODPFSP_SDST), whose optimization …