会议专题

Research on Image Clustering Based on Evolutionary Programming Algorithm

  Evolutionary programming algorithm is applied to the problem of image clustering.The solution of the problem is encoded by the symbol coding,and swarm intelligent model is used to search the solution of the problem.In evolutionary programming algorithm,the global search ability is effectively improved by mutation operator and selection operator.The excellent diversity of solutions is guaranteed by using Gaussian mutation operator,and the complexity of the evolutionary operation is reduced.The simulation experiments show that the proposed algorithm for image clustering is effective and correct.

evolutionary programming image clustering swarm intelligence

She Liu Shuying Yang

Department of computer and Communication Engineering,Tianjin University of Technology,Tianjin 300384 Key laboratory of Intelligence Computing and Novel Software Technology,Tianjin University of Technol

国际会议

2018 International Conference on Mathematics,Modeling,Simulation and Statistics Application (MMSSA2018) (2018年数学、建模仿真与统计学应用国际学术会议)

上海

英文

175-178

2018-12-22(万方平台首次上网日期,不代表论文的发表时间)