3 results about "New population" patented technology

The application discloses a social network key node identification method based on double population interaction, which comprises the following steps: 1, double population construction, based on the original network space and the reduced search space, the main population and the auxiliary population are generated respectively to complete initialization; 2, double population evolution, the main population and the auxiliary population obtained in step 1 are respectively subjected to genetic operation, offspring is generated through crossover and mutation, and a new population is formed according to the corresponding population updating method; 3, double population interaction, when the double population evolution reaches a certain iteration number and meets the interaction condition, the influence strategy and the expansion strategy are alternately executed to realize the information interaction of the main population and the auxiliary population; 4, individual selection, the individuals in the main population and the auxiliary population are sorted based on the target function value, and the optimal individual is selected as the key node combination output. The application can quickly and effectively identify the key node combination in a large-scale social network, and provide a high-quality selection scheme for decision makers within a reasonable time.

The present invention provides a method for constructing a full population synthesis and travel elements based on multi-data fusion, using population census data, economic census data, resident travel survey data and Internet location data as data sources, using an iterative proportional update model IPU to generate full household information and population information, and updating population travel element attributes according to the statistical results of multi-source data. The present invention comprehensively utilizes multiple data sources to obtain population characteristics of different dimensions and levels, and improves the accuracy and credibility of population generation results; and uses an iterative update algorithm IPU for population synthesis, which can iteratively update sample data according to actual conditions, so that the population synthesis results are closer to the actual situation, with high calculation efficiency, and can better adapt to changes in different population characteristics.

The invention discloses a social network key node identification method based on double-population interaction, which comprises the following steps of: 1, constructing double populations, respectively generating a main population and an auxiliary population based on an original network space and a reduced search space, and completing initialization; 2, carrying out double-population evolution, respectively carrying out genetic manipulation on the main population and the auxiliary population obtained in the step 1, generating filial generations through crossover variation, and forming a new population according to a corresponding population updating method; 3, double-population interaction: when the double populations are evolved to a certain number of iterations to meet interaction conditions, the influence strategy and the expansion strategy are alternately executed, and information interaction between the main population and the auxiliary population is realized; and 4, individual selection: sorting the individuals in the main population and the auxiliary population based on an objective function value, and selecting an optimal individual as a key node combination for output. According to the method, the key node combination can be quickly and effectively identified in the large-scale social network, and a high-quality selection scheme is provided for decision makers within reasonable time.