A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV
With the increase in labor costs and the development of manufacturing automation
technology, automatic guided vehicle (AGV) is widely used in various flexible workshop …
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
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 …
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
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 …
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
This paper studies a cascaded flowshop joint scheduling problem that has critical
applications in the electronic information equipment manufacturing industry but has received …
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
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) …
attention. This paper addresses a distributed flexible job shop scheduling problem (DFJSP) …
Bi-objective scheduling for energy-efficient distributed assembly blocking flow shop
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 …
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 …
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 …
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 …
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 …
heterogeneous factories, which we call the distributed heterogeneous flow shop group …