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 …

A review of prospects and opportunities in disassembly with human–robot collaboration

ML Lee, X Liang, B Hu, G Onel… - Journal of …, 2024 - asmedigitalcollection.asme.org
Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …

Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization

J Bi, H Yuan, S Duanmu, MC Zhou… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …

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 …

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 …

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 …

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 …

Disassembly sequence planning: a survey

X Guo, MC Zhou, A Abusorrah… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
It is well-recognized that obsolete or discarded products can cause serious environmental
pollution if they are poorly be handled. They contain reusable resource that can be recycled …

A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems

Y Ren, K Gao, Y Fu, H Sang, D Li, Z Luo - Swarm and Evolutionary …, 2023 - Elsevier
This paper addresses disassembly line scheduling problems (DLSP) to minimize the
smoothing index with the workstation number threshold. First, a mathematical model is …