Multi-agent system for dynamic manufacturing system optimization

This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are considered. Therefore, fast approximations to the objective function are required. This paper employs bundle of intelligent systems algorithms tied together in a multi-agent system. In order to demonstrate the system, a metal reheat furnace scheduling problem is adopted for highly demanded optimization problem. The proposed multi-agent approach has been evaluated for different settings of the reheat furnace scheduling problem. Particle Swarm Optimization, Genetic Algorithm with different classic and advanced versions: GA with chromosome differentiation, Age GA, and Sexual GA, and finally a Mimetic GA, which is based on combining the GA as a global optimizer and the PSO as a local optimizer. Experimentation has been performed to validate the multi-agent system on the reheat furnace scheduling problem

Multi Agent Micromanipulation System

In the area of biotechnology, a micromanipulation is widely used for such purposes as operating on genes and transferring biological materials into cells. For the some experiments, such as biochemical experiment, a large number of cells have to be manipulated in a short time. We have developed an automatic micromanipulation system under the stereoscopic microscope. Micromanipulation system carries out various processes, such as detection of the target, the detection of the needle head, and motor control. By sharing these processes with several computers, the micromanipulation can be performed at high speed. As a result, computer cooperation becomes very important. In this paper, we propose a multi agent micromanipulation system. At first, we developed a multi agent system, which performs image processing, motor control, and management of the micromanipulation processes. Secondarily, we proposed to operate computers cooperative. We use a computer as a single agent. And several computers are connected to a local area network. The multi agent micromanipulation system performed the micromanipulation at a realistic rate through cooperation of multi agents.</p

AN E-BROKERAGE APPROACH BASED ON MULTI-AGENT TECHNOLOGY

In this paper the author shows the importance of multi-agent system in the e-commerce domain, specially for brokerage. He also propose an agent-based architecture for brokerage and a structure for the intelligent broker. The structure may be seen like a multi-agent system, having intelligent agents that are doing specific tasks for brokerage activity. In the end, conclusions reveal some aspects that may be start points for future researches.E-commerce, intelligent agent, brokerage, multi-agent systems.

Issues in integrating existing multi-agent systems for power engineering applications

Multi-agent systems (MAS) have proven to be an effective platform for diagnostic and condition monitoring applications in the power industry. For example, a multi-agent system architecture, entitled condition monitoring multi-agent system (COMMAS) (McArthur et al., 2004), has been applied to the ultra high frequency (UHF) monitoring of partial discharge activity inside transformers. Additionally, a multi-agent system, entitled protection engineering diagnostic agents (PEDA) (Hossack et al., 2003), has demonstrated the use of MAS technology for automated and enhanced post-fault analysis of power systems disturbances based on SCADA and digital fault recorder (DFR) data. In this paper, the authors propose the integration of COMMAS and PEDA as a means of offering enhanced decision support to engineers tasked with managing transformer assets. By providing automatically interpreted data related to condition monitoring and power system disturbances, the proposed integrated system offer engineers a more comprehensive picture of the health of a given transformer. Defects and deterioration in performance can be correlated with the operating conditions it experiences. The integration of COMMAS and PEDA has highlighted the issues inherent to the inter-operation of existing multi-agent systems and, in particular, the issues surrounding the use of differing ontologies. The authors believe that these issues need to be addressed if there is to be widespread deployment of MAS technology within the power industry. This paper presents research undertaken to integrate the two MAS and to deal with ontology issues