Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method
This work addresses network optimization for military systems, but it is incremental as it applies existing genetic algorithms to a specific domain.
The authors tackled the problem of optimizing network information system architecture by using genetic algorithms to represent and search for optimal configurations, resulting in a method to predict the best scheme for system construction.
The network information system is a military information network system with evolution characteristics. Evolution is a process of replacement between disorder and order, chaos and equilibrium. Given that the concept of evolution originates from biological systems, in this article, the evolution of network information architecture is analyzed by genetic algorithms, and the network information architecture is represented by chromosomes. Besides, the genetic algorithm is also applied to find the optimal chromosome in the architecture space. The evolutionary simulation is used to predict the optimal scheme of the network information architecture and provide a reference for system construction.