Title: A chain membrane model with application in cluster analysis

Authors: Yuzhen Zhao; Xiyu Liu; Wenxing Sun

Addresses: College of Business, Shandong Normal University, Jinan, 250014, China ' College of Business, Shandong Normal University, Jinan, 250014, China ' College of Business, Shandong Normal University, Jinan, 250014, China

Abstract: Membrane computing is a kind of bio-inspired parallel distributed computing paradigm which can reduce computational complexity by the strategy of a space-time tradeoff. Traditionally, there are three kinds of membrane computing models (P systems) based on the tree and the graph topological structures. In this paper, a new P system with chain topological structure is proposed which is called the chain P systems. In the chain P systems, membranes, objects and rules are all in the form of chains which can store more information and therefore further improve the computational efficiency. The computational power and efficiency of the chain P systems are analysed. The graph clustering and the ROCK clustering algorithms based on the chain P systems are given as applications.

Keywords: membrane computing; membrane model; chain P system; computational power; computational efficiency; ROCK clustering; graph clustering.

DOI: 10.1504/IJAIS.2019.108417

International Journal of Adaptive and Innovative Systems, 2019 Vol.2 No.4, pp.324 - 348

Received: 26 Jan 2019
Accepted: 25 Aug 2019
Published online: 13 Jul 2020 *