A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs

Y Yao, X Li, L Gao - Swarm and Evolutionary Computation, 2024‏ - Elsevier
AGVs have gained significant popularity in various industries. However, the existing
literature rarely considers the integrated scheduling of production and logistics on the …

Tabu search based on novel neighborhood structures for solving job shop scheduling problem integrating finite transportation resources

Y Yao, L Gui, X Li, L Gao - Robotics and Computer-Integrated …, 2024‏ - Elsevier
As advancements in transportation equipment intelligence continue, the job shop
scheduling problem integrating finite transportation resources (JSPIFTR) has attracted …

Knowledge-based multi-objective evolutionary algorithm for energy-efficient flexible job shop scheduling with mobile robot transportation

Y Yao, Q Wang, C Wang, X Li, L Gao, K **a - Advanced Engineering …, 2024‏ - Elsevier
Energy-efficient production is a core requirement for manufacturing companies to transform
and upgrade. The popularity of mobile robots (MRs) has led to a closer relationship between …

An operator-inspired framework for metaheuristics and its applications on job-shop scheduling problems

J Li, X Li, L Gao - Applied Soft Computing, 2024‏ - Elsevier
The job-shop scheduling problem (JSP) is a well-known combinatorial optimization problem
in manufacturing systems. For the past two decades, real-number metaheuristics have been …

A Knowledge-Driven Hybrid Algorithm for Solving the Integrated Production and Transportation Scheduling Problem in Job Shop

Y Yao, C Wang, X Li, L Gao - IEEE Transactions on Intelligent …, 2024‏ - ieeexplore.ieee.org
Intelligent transportation systems, incorporating multiple AGVs, are extensively utilized in
manufacturing workshops in various industries. This widespread use has spurred significant …

A novel neighborhood structure for flexible job shop scheduling problem considering Quality-Efficiency coupling effect

Q Zheng, W Dai, C Peng, J Wang, Y Zhao - Computers & Industrial …, 2025‏ - Elsevier
Balancing product quality and production efficiency in flexible job shop scheduling facilitates
optimal allocation of time and resources, ultimately enhancing total profit. To address this …

MILP Modeling and Optimization of Multi-objective Three-Stage Flexible Job Shop Scheduling Problem with Assembly and AGV Transportation

S Yang, L Meng, S Ullah, B Zhang, H Sang… - IEEE Access, 2025‏ - ieeexplore.ieee.org
In the real manufacturing environment, the machining stage of the jobs and the assembly
stage of the products are often completed in different workshops. In addition, automatic …

Cooperative Communication Via Automated Guided Vehicle and Unmanned Aerial Vehicle: A Distributed Collaborate Beamforming Method

S Liang, M Yin, G Sun, J Li, H Li, J Wang… - IEEE Transactions …, 2024‏ - ieeexplore.ieee.org
The advantages of autonomy, stability, and high load capability make automated guided
vehicles (AGVs) appealing for applications like intelligent transportation networks …

A disjunctive graph-based metaheuristic for flexible job-shop scheduling problems considering fixture shortages in customized manufacturing systems

J Li, Q Liu, C Wang, X Li - Robotics and Computer-Integrated Manufacturing, 2025‏ - Elsevier
Customized manufacturing systems represent a promising production paradigm capable of
producing a variety of products to meet diverse customer needs. However, limited resources …

A Flexible Job Shop Scheduling Problem Considering On-Site Machining Fixtures: A Case Study From Customized Manufacturing Enterprise

J Li, X Li, L Gao, Q Liu - IEEE Transactions on Automation …, 2024‏ - ieeexplore.ieee.org
The joint optimization of production scheduling and resource constraints is critical to modern
manufacturing systems. The number of auxiliary resources (fixtures) is usually insufficient in …