%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