A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV

X Han, W Cheng, L Meng, B Zhang, K Gao… - Swarm and Evolutionary …, 2024 - Elsevier
With the increase in labor costs and the development of manufacturing automation
technology, automatic guided vehicle (AGV) is widely used in various flexible workshop …

A variable-representation discrete artificial bee colony algorithm for a constrained hybrid flow shop

ZC Wang, QK Pan, L Gao, ZH Miao, HY Sang - Expert Systems with …, 2024 - Elsevier
In the realm of hybrid flow shop environments, existing literature predominantly overlooks a
practical scenario that jobs with different constraints often need to be simultaneously …

Solving the multi-objective path planning problem for mobile robot using an improved NSGA-II algorithm

P Duan, Z Yu, K Gao, L Meng, Y Han, F Ye - Swarm and Evolutionary …, 2024 - Elsevier
Path planning is one of the most concerned problems in mobile robotics. Given the NP-hard
nature of path planning problems, the non-dominated sorting genetic algorithm (NSGA-II), as …

A cascaded flowshop joint scheduling problem with makespan minimization: A mathematical model and shifting iterated greedy algorithm

C Wang, QK Pan, HY Sang, XL Jing - Swarm and Evolutionary …, 2024 - Elsevier
This paper studies a cascaded flowshop joint scheduling problem that has critical
applications in the electronic information equipment manufacturing industry but has received …

A novel hybrid algorithm of genetic algorithm, variable neighborhood search and constraint programming for distributed flexible job shop scheduling problem

L Meng, W Cheng, B Zhang, W Zou… - International Journal of …, 2024 - growingscience.com
With a decentral and global economy, distributed scheduling problems are getting a lot of
attention. This paper addresses a distributed flexible job shop scheduling problem (DFJSP) …

Bi-objective scheduling for energy-efficient distributed assembly blocking flow shop

SL Du, WJ Zhou, MR Fei, AYC Nee, SK Ong - CIRP Annals, 2024 - Elsevier
Energy-efficient scheduling plays a pivotal role in distributed sustainable manufacturing.
This study provides the first attempt to use a knowledge-based bi-objective collaborative …

Ensemble evolutionary algorithms equipped with Q‐learning strategy for solving distributed heterogeneous permutation flowshop scheduling problems considering …

F Liu, K Gao, D Li, A Sadollah - IET Collaborative Intelligent …, 2024 - Wiley Online Library
A distributed heterogeneous permutation flowshop scheduling problem with sequence‐
dependent setup times (DHPFSP‐SDST) is addressed, which well reflects real‐world …

Modeling and optimization of the hybrid flow shop scheduling problem with sequence-dependent setup times

H Xue, L Meng, P Duan, B Zhang… - … Journal of Industrial …, 2024 - m.growingscience.com
The hybrid flow shop scheduling problem (HFSP) is an extension of the classic flow shop
scheduling problem and widely exists in real industrial production systems. In real …

GAO-RRT*: A path planning algorithm for mobile robot with low path cost and fast convergence

L Zhu, P Duan, L Meng, X Yang - AIMS Mathematics, 2024 - aimspress.com
Path planning is an essential research topic in the navigation of mobile robots. Currently,
rapidly-exploring random tree star (RRT*) and its variants are known for their probabilistic …

Modelling and Optimization of a Distributed Flow Shop Group Scheduling Problem with Heterogeneous Factories

J Zhou, T Meng, Y Jia - Available at SSRN 4825157 - papers.ssrn.com
In this paper, we solve a distributed flow shop group scheduling problem with
heterogeneous factories, which we call the distributed heterogeneous flow shop group …