Fog computing for energy-aware load balancing and scheduling in smart factory
Due to the development of modern information technology, the emergence of the fog
computing enhances equipment computational power and provides new solutions for …
computing enhances equipment computational power and provides new solutions for …
Solving the job-shop scheduling problem in the industry 4.0 era
Technological developments along with the emergence of Industry 4.0 allow for new
approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP) …
approaches to solve industrial problems, such as the Job-shop Scheduling Problem (JSP) …
Task allocation in manufacturing: A review
Task allocation (TA) problem is of critical importance in manufacturing industry, and
determines the effectiveness and efficiency of advanced manufacturing systems. A proper …
determines the effectiveness and efficiency of advanced manufacturing systems. A proper …
Neural-network-based distributed adaptive robust control for a class of nonlinear multiagent systems with time delays and external noises
A class of nonlinear multiagent systems with time delays and external noises is investigated,
and a distributed adaptive robust control protocol is developed. It is the first time for a class …
and a distributed adaptive robust control protocol is developed. It is the first time for a class …
Multi-task allocation with an optimized quantum particle swarm method
Multi-task allocation in multi-agent systems aims to accomplish tasks efficiently and
successfully, while obtaining more rewards to enhance the entire system operation at the …
successfully, while obtaining more rewards to enhance the entire system operation at the …
Cooperative product agents to improve manufacturing system flexibility: A model-based decision framework
Due to the advancements in manufacturing system technology and the ever-increasing
demand for personalized products, there is a growing desire to improve the flexibility of …
demand for personalized products, there is a growing desire to improve the flexibility of …
Potential of a multi-agent system approach for production control in smart factories
Digitalization and Industry 4.0 allow for the development of new approaches to deal with
classic industrial problems, such as production planning and control. In this context, Multi …
classic industrial problems, such as production planning and control. In this context, Multi …
Finite-time output consensus of higher-order multiagent systems with mismatched disturbances and unknown state elements
This paper studies the finite-time output consensus problem of higher-order multiagent
systems subject to both mismatched disturbances and unknown state elements, where the …
systems subject to both mismatched disturbances and unknown state elements, where the …
ANGEL: Agent-based scheduling for real-time tasks in virtualized clouds
The success of cloud computing makes an increasing number of real-time applications such
as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for …
as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for …
A Dynamic Task Scheduling Method for Multiple UAVs Based on Contract Net Protocol
Unmanned aerial vehicles are becoming promising platforms for disaster relief, such as
providing emergency communication services in wireless sensor networks, delivering some …
providing emergency communication services in wireless sensor networks, delivering some …