Multi-Agent Order Selection and its Optimization Method with Evolution Algorithm

Zhang, Li; Zhang, Jie Wu; Ma, Wei Jun

doi:10.4028/www.scientific.net/AMM.20-23.1066

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HomeApplied Mechanics and MaterialsInformation Technology for Manufacturing SystemsMulti-Agent Order Selection and its Optimization...

Multi-Agent Order Selection and its Optimization Method with Evolution Algorithm

Abstract:

The rapid changes of market and outer surroundings have caused a dynamic and highly volatile business environment for the enterprise. Manufacturing organizations are seeking efficiency gains by competing via fast time-to-market and low production cost. An Autonomous Agent Network(ANN) Based Manufacturing System model is introduced, as well as the mathematics expression for the components of AAN model. The optimization algorithm based on evolution algorithm is used to solve the optimization problem of the model. Simulation results show that the architecture model and its optimization algorithm are effective to the problem.

Info:

Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Main Theme:

Information Technology for Manufacturing Systems

Edited by:

Qi Luo

Pages:

1066-1071

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.1066

Citation:

L. Zhang et al., "Multi-Agent Order Selection and its Optimization Method with Evolution Algorithm ", Applied Mechanics and Materials, Vols. 20-23, pp. 1066-1071, 2010

Online since:

January 2010

Authors:

Li Zhang, Jie Wu Zhang, Wei Jun Ma

Keywords:

Agile Manufacturing System, Autonomous Agent Network, Evolution Optimization, Multi-Agent System (MAS), Shop Floor

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$38.00

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References

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Paper TitlePages

Uni-Objective Negotiating Model and Tactics of Multi-Agent Supply Chain System

Authors: Chang Hui Yang

Abstract: In the multi-agent supply chain of manufacturing enterprise, there is the problem that purchasing agent need negotiate with supplier agent about price. Based on analyzing the multi-agent collaborative framework, this paper presents a price-negotiating model, and discusses the negotiating tactics and steps between purchasing agent and supplies agent. And then an example is discussed for validating the negotiating model. This model is useful to optimize the supply chain management of manufacturing enterprise. Manufacturing enterprise and strategic partnerships may share profit and achieve joint gains based on this model.

608

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Authors: Li Yi Ma, Yan Yang

Abstract: An IT service outsourcing project risk management metasynthesis model based on multi-agent is proposed. Three kinds of agents, namely management agent, interactive agent and individual agent are constructed. Cooperation process between agents is designed. The system realized by using this framework can intellectualize metasynthesis risk management, realizes the organic synthesis of the experience knowledge, the theoretical knowledge, the information and the computer technology, may complete the whole life cycle intelligent risk management from the project risk data collection, the risk factor recognition, the risk estimate and the appraisal, risk control to risk early-warning. The insufficiency of sole discipline knowledge and sole functional department studying project risk management is made up.

2682

Intelligent Agents for Trading of Electricity in the Microgrid

Authors: Heng Kai Hu, Cheng Jian Wei, Qing Hua Chen, Guang Yang

Abstract: One of the key advantages of the smart grid is its capability to manage the electricity trading automatically between homes and electricity grids to cope with the inherent real-time dynamic in electricity demand and supply. In this context, this paper presents some advantages and capabilities offered by intelligent agents for trading of electricity in the microgrid. A market-based mechanism and agent trading strategy are developed and studied. Based on the Continuous Double Auction model, the proposed mechanism can deal with unforeseen demand or increased supply capacity in real time. A new trading strategy that can achieve higher market efficiency than previously published well known strategy is also illustrated. The importance of intelligent agents for the distributed control and autonomous operation for the smart grid is demonstrated.

1677

Study of Intelligence Virtual Maintenance Training System Base on STEP Standard

Authors: Feng Chan Wang, You Chao Sun, Chen Yang Zhao

Abstract: Overall scheme for large-aircraft Intelligence Virtual Maintenance Training System (IVMTS) information model which integrates the Standard for the Exchange of Product model data (STEP) standard geometric model with agent model is presented in this paper. Firstly, the system multi-agent model architecture are constructed. Secondly, Integrated STEP standard geometric model with agent model and maintenance applying information, the maintenance object agent IP(intelligence part) ,IB(intelligence body) and IT(intelligence tool) are constructed utilizing the EPRESS-G language. Thirdly, the communication method between components and system level agents is presented based on Blackboard model each other. Finally, how to realize the model under catia-caa secondary development method is described, and the intelligence maintenance process simulation, maintenance of the elements of the intelligent interaction, intelligence collision detection and maintenance sequence optimization simulation can be realized in this method in IVMTS.

1453

A Multiagent-Based Network Information Filtering System

Authors: Zhen Hai Mu

Abstract: Many issues such as low accuracy rate, poor filtration efficiency, and too much network resource occupancy exist in most information filtering systems in the current market. Therefore, there is a great demand to develop a new network filtering system. In this paper, agent techniques are first reviewed, and then the architecture and the working mechanism of a multiagent-based information filtering system is presented. Finally, the design method for core components of the system is given.

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