Membrane Computing: An Introduction
Membrane Computing: An Introduction
A Hybrid Algorithm for Determining Protein Structure
IEEE Expert: Intelligent Systems and Their Applications
Theoretical Computer Science - Natural computing
Applications of Membrane Computing (Natural Computing Series)
Applications of Membrane Computing (Natural Computing Series)
Reaction-driven membrane systems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
P systems, a new computational modelling tool for systems biology
Transactions on Computational Systems Biology VI
Evolution and oscillation in p systems: applications to biological phenomena
WMC'04 Proceedings of the 5th international conference on Membrane Computing
Review: Stochastic approaches for modelling in vivo reactions
Computational Biology and Chemistry
Psim: a computational platform for metabolic P systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
A hybrid approach to modeling biological systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
Biological roots and applications of p systems: further suggestions
WMC'06 Proceedings of the 7th international conference on Membrane Computing
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During recent years stochastic algorithms have deserved much attention from the computational biology research communities. In this paper we derive a hybrid version of the formerly known Metabolic Algorithm that is enriched with stochastic features, whose impact on the dynamics of the system is especially prominent when the amount of metabolite becomes smaller. This hybrid procedure represents a first attempt to let the Metabolic Algorithm deal with low concentrations of substances according to a non-deterministic policy.