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Mostrando ítems 1-8 de 8
Artículo
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 ...
Ponencia
Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems
(IMCS: International Membrane Computing Society, 2019)
Solving the feasibility problem in robotic motion planning means to find feasible trajectories for specific mobile robots acting in environments with obstacles whose positions are known a priori. The Rapidly-exploring ...
Artículo
An Overview of Hardware Implementation of Membrane Computing Models
(ACM Digital Library, 2020)
The model of membrane computing, also known under the name of P systems, is a bio-inspired large-scale parallel computing paradigm having a good potential for the design of massively parallel algorithms. For its implementation ...
Ponencia
P-Lingua Compiler: A Tool for Generating Ad-hoc Simulators in Membrane Computing
(Centre for Discrete Mathematics and Theoretical Computer Science, 2018)
Artículo
Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming
(Agora University of Oradea, 2018)
Methods based on Rapidly-exploring Random Trees (RRTs) have been widely used in robotics to solve motion planning problems. On the other hand, in the membrane computing framework, models based on Enzymatic Numerical P ...
Artículo
A Review of Membrane Computing Models for Complex Ecosystems and a Case Study on a Complex Giant Panda System
(Hindawi, 2020)
Ecosystem modelling based on membrane computing is emerging as a powerful way to study the dynamics of (real) ecological populations. *ese models, providing distributed parallel devices, have shown a great potential to ...
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 ...
Ponencia
Robot Path Planning using Rapidly-Exploring Random Trees: A Membrane Computing Approach
(IEEE Computer Society, 2018)
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, in the membrane computing framework, models based on ...