%0 Generic
%D 2010
%T A new simulation algorithm for multienvironment probabilistic P systems
%A Miguel A. Martínez-del-Amor
%A Ignacio Pérez-Hurtado
%A Mario J. Pérez-Jiménez
%A Agustín Riscos-Núñez
%A M. Angels Colomer
%E K. Li
%E Z. Tang
%E R. Li
%E Atulya Nagar
%E R. Thamburaj
%C Changsha, China
%I IEEE Press.
%P 59-68
%S Proceedings of the 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications BIC-TA
%U http://www.cs.us.es/~marper/investigacion/dndp.pdf
%V 1
%X Multienvironment P systems are the base of a general framework for modeling ecosystems dynamics. On one hand, this modeling framework represents the structural and dynamical aspects of real ecosystems in a discrete, modular and compressive way. On the other hand, the inherent randomness and uncertainty of biological systems are captured by using probabilistic strategies. Nowadays, the simulation of these P systems based models is fundamental for experimentation and validation. In this paper, we introduce a new simulation algorithm, called DNDP, which performs object distribution and maximal consistency in the application of rules, that are crucial aspects of these systems. The paper also depicts a parallel implementation of the algorithm, and a comparison with the existing algorithm in PLinguaCore is provided. In order to test the performance of the presented algorithm, several experiments (simulations) have been carried out over four simple P systems with the same skeleton and different number of environments.
%8 09/2010
%@ 978-1-4244-6439-5