A Complex Chained P System Based on Evolutionary Mechanism for Image Segmentation

• DOI: 10.1155/2020/6524919
• Publication Date: 2020-08-08T00:02:18Z
• Authors: Xiyu Liu; Lin Wang; Jianhua Qu; Ning Wang
• Keywords: Differential Evolution; Premature convergence; Consensus clustering

A new clustering membrane system using a complex chained P (CCP) based on evolutionary mechanism is designed, developed, implemented, and tested. The purpose of CCP to solve problems. In CCP, two kinds evolution rules in different membranes are used enhance the global search ability. first kind traditional modified particle swarm optimization (PSO) techniques evolve objects. Another differential (DE) introduced further improve communication adopted accelerate convergence avoid prematurity. Under control evolution-communication mechanism, can effectively for optimal partitioning performance with help distributed parallel computing model. This proposed compared four existing PSO approaches eight real-life datasets verify validity. computational results tested images also clearly show effectiveness solving image segmentation