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Generation of rapidly-exploring random trees by using a new class of membrane systems
(Xihua University, 2017)
Methods based on Rapidly-exploring Random Trees (RRTs) have been in use in robotics to solve motion planning problems for nearly two decades. On the other hand, models based on Enzymatic Numerical P systems (ENPS) have ...
Artículo
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Polarizationless P Systems with Active Membranes: Computational Complexity Aspects
(Institut für Informatik, Justus-Liebig-Universität Giessen, 2016)
P systems with active membranes, in their classical definition, make use of noncooperative rules only. However, it is well known that in living cells, proteins interact among them yielding new products. Inspired by this ...
Ponencia
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A Cellular Sudoku Solver
(Fénix Editora, 2010)
Sudoku is a very popular puzzle which consists on placing several numbers in a squared grid according to some simple rules. In this paper we present an efficient family of P systems which solve sudoku puzzles of any order ...
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Foreword. Special Issue: A selection of papers from the 10th Brainstorming Week on Membrane Computing
(Taylor and Francis, 2013)
Ponencia
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On Efficiency of P Systems with Symport/Antiport and Membrane Division
(Fenix Editora, 2017)
Classical membrane systems with symport/antiport rules observe the con- servation law, in the sense that they compute by changing the places of objects with respect to the membranes, and not by changing the objects ...
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Small universal simple spiking neural P systems with weights
(Springer, 2014)
Spiking neural P systems with weights (WSN P systems, for short) are a new variant of spiking neural P systems, where the rules of a neuron are enabled when the potential of that neuron equals a given value. It is known ...
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P‑Lingua in two steps: flexibility and efficiency
(Springer, 2019)
Membrane computing is a bio-inspired computing paradigm that lacks in vivo implementation. That is why software or hardware implementations have to be used to validate models. Several tools have been created for this ...
Artículo
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Interval-valued fuzzy spiking neural P systems for fault diagnosis of power transmission networks
(Elsevier, 2019)
It is a challenge problem how to deal with the uncertainty in fault diagnosis of power systems. To solve the challenge problem, this paper introduces an interval-valued fuzzy spiking neural P system (IVFSNP system), where ...
Artículo
Ponencia
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Computación inteligente con organismos vivos
(Centro de Filosofía das Ciências da Universidade de Lisboa, 2012)