@article {664,
	title = {A Bio-inspired Software for Segmenting Digital Images},
	journal = {2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications BIC-TA},
	volume = {2},
	year = {2010},
	month = {09/2010},
	pages = {1377-1381 },
	publisher = {IEEE, Inc.},
	address = {Liverpool, UK},
	isbn = {978-1-4244-6438-8},
	url = {http://bic-ta.hnu.cn/},
	author = {Daniel D{\'\i}az-Pernil and Miguel A. Guti{\'e}rrez-Naranjo and Helena Molina-Abril and Pedro  Real},
	editor = {Atulya Nagar and R. Thamburaj and K. Li and Z. Tang and R. Li}
}
@article {696,
	title = {A new simulation algorithm for multienvironment probabilistic P systems},
	journal = {IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)},
	volume = {1},
	year = {2010},
	month = {09/2010},
	pages = {59-68},
	publisher = {IEEE Press.},
	address = {Changsha, China},
	abstract = {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.},
	isbn = {978-1-4244-6439-5},
	url = {http://www.cs.us.es/~marper/investigacion/dndp.pdf},
	author = {Miguel A. Mart{\'\i}nez-del-Amor and Ignacio P{\'e}rez-Hurtado and Mario J. P{\'e}rez-Jim{\'e}nez and Agust{\'\i}n Riscos-N{\'u}{\~n}ez and M. Angels Colomer},
	editor = {K. Li and Z. Tang and R. Li and Atulya Nagar and R. Thamburaj}
}
@article {698,
	title = {Simulating Tritrophic Interactions by Means of P Systems},
	journal = {IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)},
	volume = {2},
	year = {2010},
	month = {09/2010},
	pages = {637-643},
	publisher = {IEEE Press.},
	address = {Liverpool, UK},
	abstract = {P systems provide a high level computational modelling
framework that combines the structural and dynamical
aspects of ecosystems in a compressive and relevant way. The
inherent randomness and uncertainty in biological systems is
captured by using probabilistic strategies. The design of efficient
simulation algorithms in order to reproduce the behavior of these
computational models over conventional computers is fundamental
for the validation and virtual experimentation processes.
In this paper, we describe the modelling framework and two
different simulation algorithms. As a case study, a P system
based model of an ideal ecosystem with three trophic levels is
designed and simulated by both simulation algorithms, providing
comparisons of efficiency between them.},
	isbn = {978-1-4244-6438-8},
	url = {http://www.cs.us.es/~marper/investigacion/tritrophic.pdf},
	author = {M. Angels Colomer and Ignacio P{\'e}rez-Hurtado and Mario J. P{\'e}rez-Jim{\'e}nez and Agust{\'\i}n Riscos-N{\'u}{\~n}ez},
	editor = {Atulya Nagar and R. Thamburaj and K. Li and Z. Tang and R. Li}
}
@article {682,
	title = {Solving Sudoku with Membrane Computing},
	journal = {2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications BIC-TA},
	volume = {I},
	year = {2010},
	month = {09/2010},
	pages = {610-615 },
	publisher = {IEEE, Inc.},
	address = {Changsha, China},
	isbn = {978-1-4244-6438-8},
	url = {http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16823},
	author = {Daniel D{\'\i}az-Pernil and Carlos M. Fern{\'a}ndez-M{\'a}rquez and Manuel Garc{\'\i}a-Quismondo and Miguel A. Guti{\'e}rrez-Naranjo and Miguel A. Mart{\'\i}nez-del-Amor},
	editor = {K. Li and Z. Tang and R. Li and Atulya Nagar and R. Thamburaj}
}
@article {697,
	title = {A uniform framework for modeling based on P Systems},
	journal = {IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)},
	volume = {1},
	year = {2010},
	month = {09/2010},
	pages = {616-621},
	publisher = {IEEE Press.},
	address = {Changsha, China},
	abstract = {In this paper, a P systems based general framework
for modeling the dynamics of a population biology is presented.
Multienvironment probabilistic functional P systems with active
membranes provide the syntactical specification, and the semantics
is captured by using stochastic or probabilistic strategies
implemented through simulation algorithms.},
	isbn = {978-1-4244-6439-5},
	url = {http://www.cs.us.es/~marper/investigacion/marco-bicta-2010.pdf},
	author = {M. Angels Colomer and Miguel A. Mart{\'\i}nez-del-Amor and Ignacio P{\'e}rez-Hurtado and Mario J. P{\'e}rez-Jim{\'e}nez and Agust{\'\i}n Riscos-N{\'u}{\~n}ez},
	editor = {K. Li and Z. Tang and R. Li and Atulya Nagar and R. Thamburaj}
}
@article {694,
	title = {MeCoSim: A general purpose software tool for simulating biological phenomena by means of P Systems},
	journal = {IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)},
	volume = {I},
	year = {2010},
	pages = {637-643},
	publisher = {IEEE, Inc.},
	address = {Changsha, China},
	abstract = {In recent years, the increasing importance of the
computational systems biology is leading to an impressive growth
of the knowledge of several real-life phenomena. In this framework,
membrane computing is an emergent branch within natural
computing that has been succesfully used to model biological
phenomena. The study of these phenomena usually requires the
execution of virtual experiments using mechanisms of simulation,
implying the development of ad-hoc tools to simulate. However,
the advance of the research is demanding general solutions
to avoid the necessity of custom software developments for
each matter of study, when there are some common problems
to resolve. MeCoSim (Membrane Computing Simulator) is a
first step in this direction providing the users a customizable
application to generate custom simulators based on membrane
computing by simply writing a configuration file.},
	isbn = {978-1-4244-6439-5},
	url = {http://www.cs.us.es/~marper/investigacion/mecosim.pdf},
	author = {Ignacio P{\'e}rez-Hurtado and Luis Valencia-Cabrera and Mario J. P{\'e}rez-Jim{\'e}nez and M. Angels Colomer and Agust{\'\i}n Riscos-N{\'u}{\~n}ez},
	editor = {K. Li and Z. Tang and R. Li and Atulya Nagar and R. Thamburaj}
}
