Papers by Author: Jun Yan Chen

Abstract: Evaluation of the urbanization is a complicated systematic engineering, which involves population, economy, society, environment, etc. This paper estimated the urbanization level in Tianjin in terms of economic urbanization, industrial structure urbanization, population urbanization and life style urbanization using 14 sub-indexes. Having extracted 3 components with principal component analysis method, this paper inspected the degree of urbanization in Tianjin by utilizing correlation analysis to analyze the integrated scores from principal component analysis method and population urbanization using single index. Then it offered some suggestions based on the current status of development, which provided some reference for the further development of Tianjin urbanization.

Abstract: This paper presents a hybrid-clustering algorithm that is a stochastic disturbance of particle swarm optimization (PSO) for K-means clustering method (SDPSO-K). The proposed algorithm can improve the particle global searching ability in PSO to avoid the K-means disadvantage of being easily trapped in a local optimal solution and to save the expensive computational cost of PSO clustering. The performance of the SDPSO-K, compared with three recently developed modified PSO techniques and related clustering algorithms for six datasets, indicates that the SDPSO-K algorithm is clearly and consistently superior in terms of precision and robustness.