@article {872,
	title = {DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution},
	journal = {Tenth Brainstorming Week on Membrane Computing},
	volume = {II},
	year = {2012},
	month = {02/2012},
	pages = {27-56},
	publisher = {F{\'e}nix Editora},
	address = {Seville, Spain},
	abstract = {Population Dynamics P systems refer to a formal framework for ecological
modelling. The semantics of the model associates probabilities to rules, but at the
same time, the model is based on P systems, so the rules are applied in a maximally
parallel way. Since the success of the rst model using this framework [5], initially
called multienvironment probabilistic P systems, several simulation algorithms have been
dened in order to better reproduce the behaviour of the ecosystems with the models.
BBB and DNDP are previous attempts, which dene blocks of rules having the
same left-hand side, but do not dene a deterministic behaviour when dierent rules are
competing for the same resources. That is, dierent blocks of rules present in their left-
hand side common objects, being applicable at the same time. In this paper, we introduce
a new simulation algorithm, called DCBA, which performs a proportional distribution of
resources.},
	keywords = {DCBA, Membrane computing, P-Lingua, pLinguaCore, Population Dynamics, Probabilistic P systems, Simulation Algorithm},
	url = {http://www.gcn.us.es/10BWMC/10BWMCvolII/papers/dcba.pdf},
	author = {Miguel A. Mart{\'\i}nez-del-Amor and Ignacio P{\'e}rez-Hurtado and Manuel Garc{\'\i}a-Quismondo and Luis F. Mac{\'\i}as-Ramos and Luis Valencia-Cabrera and {\'A}lvaro Romero-Jim{\'e}nez and Carmen Graciani-D{\'\i}az and Agust{\'\i}n Riscos-N{\'u}{\~n}ez and M. Angels Colomer and Mario J. P{\'e}rez-Jim{\'e}nez}
}
