多Agent协作的生物网络服务质量的智能评估模型

An Intelligent Evaluation Model for the Quality of Service in Multi-Agent-Based Bio-Network

生物网络结构是为设计和实现可调整的、适应的及可生存的网络应用的中间件。生物网络的服务和应用是通过多Agent之间的相互协作,动态地选择Agent所提供的服务来完成的。基于模糊逻辑、神经网络和遗传算法相结合的方法提出了多Agent协作的生物网络整体服务质量的智能评估和优化模型,它是一种基于五层模糊神经网络的模型,并采用遗传算法进行优化。仿真实验验证该模型的可行性。该智能评估模型能够高效地处理多Agent的模糊和非确定的服务质量评估问题。

Bio - network architecture is a middleware, which is designed and implemented for the adaptive network application. Through collaborations and dynamic choices of multi - agents, the bio - network accomplishes its service and applications. In this paper, an intelligent evaluation and optimization model is provided for the quality of service in multi - agent system based on the integrated method of fuzzy logic, neural networks and genetic algorithms. The model is a five - layer fuzzy neural network optimized by genetic algorithm. The simulation result proves that the model can efficiently resolve the fuzzy and uncertain problem of the quality of service in multi - agent systems.