Iterated greedy algorithms for flow-shop scheduling problems: A tutorial

ZY Zhao, MC Zhou, SX Liu - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely
used to solve flow-shop scheduling problems (FSPs), an important branch of production …

Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new …

C Zhang, Y Wang, Z Zhao, X Chen, H Ye, S Liu… - Computers in …, 2024 - Elsevier
With the transformation and upgrading of the manufacturing industry, manufacturing systems
have become increasingly complex in terms of the structural functionality, process flows …

Reinforcement learning for disassembly system optimization problems: A survey

X Guo, Z Bi, J Wang, S Qin, S Liu, L Qi - International Journal of Network …, 2023 - sciltp.com
The disassembly complexity of end-of-life products increases continuously. Traditional
methods are facing difficulties in solving the decision-making and control problems of …

Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products

X Guo, Z Zhang, L Qi, S Liu, Y Tang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …

Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem

Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …

Path planning method with improved artificial potential field—a reinforcement learning perspective

Q Yao, Z Zheng, L Qi, H Yuan, X Guo, M Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …

Scheduling and logistics optimization for batch manufacturing processes with temperature constraints and alternative thermal devices

Z Zhao, Z Bian, J Liang, S Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Batch scheduling problems are NP-hard and often coupled with logistics optimization
problems in industrial manufacturing scenarios, further increasing the challenge of decision …

A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems

Y Ji, S Liu, M Zhou, Z Zhao, X Guo, L Qi - Information Sciences, 2022 - Elsevier
Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …

Heuristic scheduling of batch production processes based on petri nets and iterated greedy algorithms

Z Zhao, S Liu, MC Zhou, D You… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Wire rod and bar rolling is an important batch production process in steel production
systems. A scheduling problem originated from this process is studied in this work by …

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, 2020 - Elsevier
The distributed permutation flowshop scheduling problem (DPFSP) has attracted much
attention in recent years. In this paper, we extend the DPFSP by considering the sequence …