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Multi-agent-based Approach for Determination of Time-quota in Integrated Environment

Multi-agent-based Approach for Determination of Time-quota in Integrated Environment
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摘要 Time-quota is one of important factors in producti on system. It is affected by various factors. time-quota is studied in CAPP and p roduction schedule integration environment in this paper. An agent-based time- quota method is put forward and the structure model is established by means of i ntelligent agent in integrated environment. The method can map the influencing t ime-quota factors into part agent related to process state and machine method a gent, resorting to the function of agent rule-based reasoning, the agents can t ransform these factors into data mode that artificial neural network (ANN) can a ccept and recognize. As a tool, ANN agent can calculate time-quota quickly. A b lackboard method is used as the means of communication and collaborative control between agents. The experiments show that precise process time-quota can be obtained rapidly with proper samples selected, continuous self-study and self -organization in system, and multi-agent approach is an effective method for d etermination of time-quota. Time-quota is one of important factors in producti on system. It is affected by various factors. time-quota is studied in CAPP and p roduction schedule integration environment in this paper. An agent-based time- quota method is put forward and the structure model is established by means of i ntelligent agent in integrated environment. The method can map the influencing t ime-quota factors into part agent related to process state and machine method a gent, resorting to the function of agent rule-based reaso...
出处 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期156-157,共2页 Journal of Xiamen University:Natural Science
基金 ProjectsupportedbyEducationCommitteeSpecialFoundationofShaanXi(0 0K1 3 4 ) ProjectsupportedbyNationalScienceFoundationofShaanXi (2 2 0 0 83 )
关键词 MULTI-AGENT artificial neural network (ANN) ti me-quota integrated environment multi-agent artificial neural network (ANN) ti me-quota integrated environment
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