<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Miguel A. Martínez-del-Amor</style></author><author><style face="normal" font="default" size="100%">Ignacio Pérez-Hurtado</style></author><author><style face="normal" font="default" size="100%">Mario J. Pérez-Jiménez</style></author><author><style face="normal" font="default" size="100%">Agustín Riscos-Núñez</style></author><author><style face="normal" font="default" size="100%">M. Angels Colomer</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">K. Li</style></author><author><style face="normal" font="default" size="100%">Z. Tang</style></author><author><style face="normal" font="default" size="100%">R. Li</style></author><author><style face="normal" font="default" size="100%">Atulya Nagar</style></author><author><style face="normal" font="default" size="100%">R. Thamburaj</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A new simulation algorithm for multienvironment probabilistic P systems</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Proceedings of the 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications BIC-TA</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.cs.us.es/~marper/investigacion/dndp.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE Press.</style></publisher><pub-location><style face="normal" font="default" size="100%">Changsha, China</style></pub-location><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">59-68</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4244-6439-5</style></isbn><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record></records></xml>