A new simulation algorithm for multienvironment probabilistic P systems

TitleA new simulation algorithm for multienvironment probabilistic P systems
Publication TypeConference Contributions
Year of Publication2010
AuthorsMartínez-del-Amor, M. A., Pérez-Hurtado I., Pérez-Jiménez M. J., Riscos-Núñez A., & Colomer A. M.
EditorsLi, K., Tang Z., Li R., Nagar A., & Thamburaj R.
Conference NameIEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)
Volume TitleProceedings of the 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications BIC-TA
ISBN Number978-1-4244-6439-5
PublisherIEEE Press.
Place PublishedChangsha, China
Date Published09/2010

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.