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Originating in 1980s, distributed simulation has turned out to be a powerful tool in scientific research, military simulation and training, complex product design and more other fields. However, new problems like limited computational capacity and heavy communication overhead exist as simulation modeling and computation develop. This paper concentrates on these problems, reviews related work, and...
Existing collaborative development systems for design, simulation and optimization adopt tight integration model, thus the collaborative components are difficult to join and exit dynamically, causing inconvenience for dynamic adjustment of the collaborative development system. The concept of High Level Architecture (HLA) federation has been proved to be an effective architecture for distributed dynamic...
In an operational collaborative simulation system, evaluation is always an important part to indicate validity, precision, robustness, reliability and other capabilities of the system. However, there is no generic evaluation tool accustomed to varied situations. This paper analyzes the current problem we confront, puts forward FSM (flow specific model) and FIM (flow independent model), and proposes...
This paper considers a federation-based pragmatic integration framework of heterogeneous information systems multi-objective integration for not-long-term-stable inter-connection, inter-communication and inter-operation under the condition of control domain and trust domain incomplete coverage. A prototyping system has been designed and developed in order to verify the validity of this framework....
Federation Integration Architecture for Sharing Resources of Product Development Platforms (FIASRPDP) is presented, which aims to keep the inherent operation pattern of product development platforms and to share their development resources when the development resources of different product development platforms are integrated for complex product development. Federation Integration Architecture (FIA)...
Many problems existed in the current grey system model-building, such as the rough exponential model, unsatisfied precision and the poor parallel computation ability. So it was very important to expand the current grey theory and find out an appropriate model building method. There were several ways to combine grey system with neural network, such as "Simple Combination", "Serial Combination",...
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