2021 Vol.4 Jun.No.2

• Title: Visual interactive simulation of digital interface information based on Multi-Agent Genetic algorithm
• Name: Mohamed Baza
• Company: Department of Computer Science, College of Charleston
• Abstract:

  Aiming at the problems of poor interaction accuracy, low information recall and long interaction time in the current digital interface information visualization interaction methods,[BM1]  a digital interface information visualization interaction method based on multi-agent is proposed. In this method, the encoder is used to reduce the dimension of the data, and the clustering algorithm is used to extract the data features. Then, using the extracted data features, a visual interaction model is established. The multi-agent genetic algorithm is used to calculate the established model to realize the visual interaction of digital interface information. The experimental results show that compared with several existing methods, the visual interaction time of this method is shorter and the information recall rate is higher.

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• Keyword: multi-agent; Digital interface; Information visualization; Interaction method; Genetic algorithm;
• DOI: 10.12250/jpciams2021090227
• Citation form: Mohamed Baza.Visual interactive simulation of digital interface information based on Multi-Agent Genetic algorithm[J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.51-55.

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