A reinforcement learning driven cooperative meta-heuristic algorithm for energy-efficient distributed no-wait flow-shop scheduling with sequence-dependent setup …

F Zhao, T Jiang, L Wang - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Green manufacturing has attracted increasing attention under the background of carbon
peaking and carbon neutrality. Distributed production has widely existed in various …

The blocking flow shop scheduling problem: A comprehensive and conceptual review

HH Miyata, MS Nagano - Expert Systems with Applications, 2019 - Elsevier
This paper presents a literature review on the m-machine flow shop scheduling problem with
blocking conditions. In total, 139 papers are reviewed and classified, ranging from 1969 up …

A cooperative water wave optimization algorithm with reinforcement learning for the distributed assembly no-idle flowshop scheduling problem

F Zhao, L Zhang, J Cao, J Tang - Computers & Industrial Engineering, 2021 - Elsevier
The distributed assembly no-idle flow-shop scheduling problem (DANIFSP) is a novel and
considerable model, which is suitable for the modern supply chains and manufacturing …

An improved genetic algorithm for the flexible job shop scheduling problem with multiple time constraints

G Zhang, Y Hu, J Sun, W Zhang - Swarm and evolutionary computation, 2020 - Elsevier
The flexible job shop scheduling problem is a very important problem in factory scheduling.
Most of existing researches only consider the processing time of each operation, however …

A novel cooperative multi-stage hyper-heuristic for combination optimization problems

F Zhao, S Di, J Cao, J Tang - Complex System Modeling and …, 2021 - ieeexplore.ieee.org
A hyper-heuristic algorithm is a general solution framework that adaptively selects the
optimizer to address complex problems. A classical hyper-heuristic framework consists of …

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, 2020 - Elsevier
Sustainable scheduling problems have been attracted great attention from researchers. For
the flow shop scheduling problems, researches mainly focus on reducing economic costs …

A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling

H Bao, Q Pan, R Ruiz, L Gao - Swarm and Evolutionary Computation, 2023 - Elsevier
Energy-aware scheduling has attracted increasing attention mainly due to economic
benefits as well as reducing the carbon footprint at companies. In this paper, an energy …

An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem

F Zhao, D Shao, L Wang, T Xu, N Zhu - Knowledge-Based Systems, 2022 - Elsevier
The distributed assembly blocking flow-shop scheduling problem (DABFSP), which is a
promising area in modern supply chains and manufacturing systems, has attracted great …

Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem

Z Shao, W Shao, D Pi - Swarm and Evolutionary Computation, 2020 - Elsevier
In consideration of the uncertainty of manufacturing system, this paper investigates a
distributed fuzzy blocking flow-shop scheduling problem (DFBFSP) in which there are …

A hybrid discrete water wave optimization algorithm for the no-idle flowshop scheduling problem with total tardiness criterion

F Zhao, L Zhang, Y Zhang, W Ma, C Zhang… - Expert Systems with …, 2020 - Elsevier
The no-idle flowshop has attracted enormous attention owing to its widespread application
in the manufacturing industry domain. In this paper, a hybrid discrete water wave …