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The evolutionary optimization of system of systems based on Agent model

机译:基于Agent模型的系统进化优化。

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In recent years, the concept of system of systems (SoS) has emerged as a new approach to solving complex problems. Since every system evolves, the evolution has become a significant characteristic of SoS. The Agent, a self-adaptive entity, which has the perception, adaption and reaction to the changes of the environment, operates in a dynamic environment. Consequently, a method to research the evolutionary optimization of SoS based on Agent model is proposed. Since each Agent is optimized autonomously, the Agents can adopt different optimization method according to their characteristics. This is a method called “from bottom to top”, which is suitable for solving the problem of large complex systems. Finally, the conclusions are given. The evolutionary optimization of SoS based on Agent model is feasible and effective, which can be deeply researched in the future.
机译:近年来,系统系统(SoS)的概念作为解决复杂问题的一种新方法应运而生。由于每个系统都在发展,因此发展已成为SoS的重要特征。 Agent是对环境变化具有感知,适应和反应的自适应实体,它在动态环境中运行。因此,提出了一种基于Agent模型的SoS进化优化研究方法。由于每个Agent都是自主优化的,因此Agent可以根据其特性采用不同的优化方法。这是一种称为“从下到上”的方法,适用于解决大型复杂系统的问题。最后给出结论。基于Agent模型的SoS的进化优化是可行和有效的,有待进一步深入研究。

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