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Artículo
Adaptative parallel simulators for bioinspired computing models
(Elsevier, 2020)
In the Membrane Computing area, P systems are unconventional devices of computation inspired by the structure and processes taking place in living cells. Main successful P system applications lie in computability and ...
Artículo
Spiking neural P systems with inhibitory rules
(Elsevier, 2020)
Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP) system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant of SNP systems is proposed, called ...
Artículo
When object production tunes the efficiency of membrane systems
(Elsevier, 2020)
Psystems with active membranes is one of the most studied models within the field ofMembrane Computing. Simulating the organization and behavior of the living cells througha tree-like structure and abstracting the mechanisms ...
Artículo
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
(World Scientific, 2021)
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software ...
Artículo
A Survey of Nature-Inspired Computing: Membrane Computing
(ACM Digital Library, 2021)
Nature-inspired computing is a type of human-designed computing motivated by nature, which is based on the employ of paradigms, mechanisms, and principles underlying natural systems. In this article, a versatile and ...
Artículo
From NP-Completeness to DP-Completeness: A Membrane Computing Perspective
(Hindawi, 2020)
Presumably efficient computing models are characterized by their capability to provide polynomial-time solutions for NPcomplete problems. Given a classRof recognizer membrane systems,Rdenotes the set of decision problems ...
Artículo
A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning
(IOS Press, 2020)
In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the Rapidly-exploring Random ...