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Artículo
A computational modeling for real ecosystems based on P systems
(Springer, 2011)
In this paper, a P systems based general framework for modeling ecosystems dynamics is presented. Particularly, ecosystems are specified by means of multienvironment P systems composed of a finite number of environments, ...
Artículo
A Tissue P Systems Based Uniform Solution to Tripartite Matching Problem
(IOS Press, 2011)
A tissue P system with cell division is a computing model which has two basic features: intercellular communication and the ability of cell division. The ability of cell division allows us to obtain an exponential amount ...
Artículo
Application of Fuzzy Reasoning Spiking Neural P Systems to Fault Diagnosis
(Agora University of Oradea, Romania, 2014)
This paper discusses the application of fuzzy reasoning spiking neural P systems with trapezoidal fuzzy numbers (tFRSN P systems) to fault diagnosis of power systems, where a matrix-based fuzzy reasoning algorithm based ...
Artículo
3-Col problem modelling using simple kernel P systems
(Taylor and Francis, 2013)
This paper presents the newly introduced class of (simple) kernel P systems ((s)kP systems) and investigates through a 3-colouring problem case study the expressive power and efficiency of kernel P systems. It describes ...
Artículo
Notes on spiking neural P systems and finite automata
(Springer, 2016)
Spiking neural P systems (in short, SN P systems) are membrane computing models inspired by the pulse coding of information in biological neurons. SN P systems with standard rules have neurons that emit at most one ...
Artículo
Efficient simulation of tissue-like P systems by transition cell-like P systems
(Springer, 2009)
In the framework of P systems, it is known that the construction of exponential number of objects in polynomial time is not enough to efficiently solve NP-complete problems. Nonetheless, it could be sufficient to create ...
Artículo
A weighted corrective fuzzy reasoning spiking neural P system for fault diagnosis in power systems with variable topologies
(Elsevier, 2020)
This paper focuses on power system fault diagnosis based on Weighted Corrective Fuzzy Reasoning Spiking Neural P Systems with real numbers (rWCFRSNPSs) to propose a graphic fault diagnosis method, called FDWCFRSNPS. In ...
Artículo
A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms
(Chinese Institute of Electronics, 2016)
A new fault diagnosis method based on improved Adaptive fuzzy spiking neural P systems (in short, AFSN P systems) and Particle swarm optimization (PSO) algorithm is presented to improve the efficiency and accuracy of ...
Artículo
Comparing simulation algorithms for multienvironment probabilistic P systems over a standard virtual ecosystem
(Springer, 2012)
Membrane Computing has recently proved to be a suitable framework for addressing the modelling of dynamical biological systems in general, and ecosystems in particular. Due to the inherent randomness and uncertainty in ...
Artículo
Computational complexity of tissue-like P systems
(Elsevier, 2010)