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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/1002

Title: Fast Linear Algorithm for Active Rules Application in Transition P Systems
Authors: Javier Gil, Francisco
Tejedor, Jorge
Fernández, Luis
Keywords: Natural Computing
Membrane Computing
Transition P System
Rules Application Algorithms
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Transition P systems are computational models based on basic features of biological membranes and the observation of biochemical processes. In these models, membrane contains objects multisets, which evolve according to given evolution rules. In the field of Transition P systems implementation, it has been detected the necessity to determine whichever time are going to take active evolution rules application in membranes. In addition, to have time estimations of rules application makes possible to take important decisions related to the hardware / software architectures design. In this paper we propose a new evolution rules application algorithm oriented towards the implementation of Transition P systems. The developed algorithm is sequential and, it has a linear order complexity in the number of evolution rules. Moreover, it obtains the smaller execution times, compared with the preceding algorithms. Therefore the algorithm is very appropriate for the implementation of Transition P systems in sequential devices.
URI: http://hdl.handle.net/10525/1002
ISSN: 1313-0455
Appears in Collections:Book 1 Algorithmic and Mathematical Foundations of the Artificial Intelligence

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