Abstrato

Simulation of methods for obtaining information flow in distributed network databases based on ecological intelligence algorithm

Wang Ying, Zhu Ya-Qiong

Biological intelligence algorithms use biological terms and features such as DNA helix models, immune system algorithms, genetic algorithms etc., to elucidate the computational methods. These biologically inspired algorithms defines that all techniques are based on the existing law of nature. The distributed network database has the characteristics of data, work processing, and distribution and so on. When the data is added, the large-scale data can be carried out simultaneously. In this paper, a simple understanding of the distributed network database was obtained on the basis of the selection of ecological intelligent algorithm and ant colony algorithm. The method was obtained according to the information flow of the existing mathematical models and simulation experiments, which was the method with high accuracy.