Bidding-based process planning and scheduling in a multi-agent system
Computers and Industrial Engineering
A multi-agent approach to process planning and fabrication in distributed manufacturing
ICC&IE Selected papers from the 22nd ICC&IE conference on Computers & industrial engineering
An Introduction to Agent Technology
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
On the design of intelligent robotic agents for assembly
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent embedded agents
Analysis on the performance of mobile agents for query retrieval
Information Sciences—Informatics and Computer Science: An International Journal
Editorial: Computationally intelligent agents in economics and finance
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
Using cooperative mobile agents to monitor distributed and dynamic environments
Information Sciences: an International Journal
Semantic information integration and question answering based on pervasive agent ontology
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Editorial: Soft computing meets agents
Information Sciences: an International Journal
Agent-based architecture for designing hybrid control systems
Information Sciences: an International Journal
Information Sciences: an International Journal
International Journal of Intelligent Engineering Informatics
iDetect: Content Based Monitoring of Complex Networks using Mobile Agents
Applied Soft Computing
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Agent technology is considered as a promising approach for developing optimizing process plans in intelligent manufacturing. As a bridge between computer aided design (CAD) and computer aided manufacturing (CAM), the computer aided scheduling optimization (CASO) plays an important role in the computer integrated manufacturing (CIM) environment. In order to develop a multi-agent-based scheduling system for intelligent manufacturing, it is necessary to build various functional agents for all the resources and an agent manager to improve the scheduling agility. Identifying the shortcomings of traditional scheduling algorithm in intelligent manufacturing, the architecture of intelligent manufacturing system based on multi-agent is put forward, among which agent represents the basic processing entity. Multi-agent-based scheduling is a new intelligent scheduling method based on the theories of multi-agent system (MAS) and distributed artificial intelligence (DAI). It views intelligent manufacturing as composed of a set of intelligent agents, who are responsible for one or more activities and interacting with other related agents in planning and executing their responsibilities. In this paper, the proposed architecture consists of various autonomous agents that are capable of communicating with each other and making decisions based on their knowledge. The architecture of intelligent manufacturing, the scheduling optimization algorithm, the negotiation processes and protocols among the agents are described in detail. A prototype system is built and validated in an illustrative example, which demonstrates the feasibility of the proposed approach. The experiments prove that the implementation of multi-agent technology in intelligent manufacturing system makes the operations much more flexible, economical and energy efficient.