The Evolutionary Optimization of System of Systems Based on Agent Model

被引：0

作者：

Pan, Jiali ^{[1
]}

Han, Minghong ^{[1
]}

机构：

[1] Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE) | 2014年

关键词：

system of systems; evolutionary optimization; Agent model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：231 / 235

页数：5

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