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Tracing Some Open Problems in Membrane Computing
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TLDR
The present notes intend to survey the research related to some of the problems of membrane computing, mentioning both progresses made in solving them and questions which still wait for research efiorts.Abstract:
Membrane computing is a branch of natural computing aiming to abstract computing models from the structure and functioning of the living cell, and from the way cells cooperate in tissues, organs, or other populations of cells. This research area developed very fast, both at the theoretical level and in what concerns the applications. During the almost ten years since membrane computing was initiated, several open problems were circulated, sometimes in comprehensive lists prepared for meetings in this area. The present notes intend to survey the research related to some of these problems, mentioning both progresses made in solving them and questions which still wait for research efiorts.read more
Citations
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A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling
TL;DR: This paper comprehensively describes and discusses the various Artificial Intelligence/bio inspired methods applied for fuel cell parameter estimation problem and envisioned that, this review will be a one stop solution to the researchers and engineers working in the area of fuel cell systems.
Journal ArticleDOI
An unsupervised learning algorithm for membrane computing
TL;DR: The proposed fuzzy clustering algorithm is compared to three recently-developed and two classical clustering algorithms for five artificial and five real-life data sets, and achieves good fuzzy partitioning for a data set.
Journal ArticleDOI
A novel P systems based optimization algorithm for parameter estimation of proton exchange membrane fuel cell model
Shipin Yang,Ning Wang +1 more
TL;DR: A novel bio-inspired P systems based optimization algorithm, named BIPOA, is proposed to solve PEM fuel cell model parameter estimation problems and outperforms the other two methods (PSOPS and GAs) in both convergence speed and accuracy.
Journal ArticleDOI
A Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning
TL;DR: In mMPSO, a dynamic double one-level membrane structure is introduced to arrange the particles with various dimensions and perform the communications between particles in different membranes; a point repair algorithm is presented to change an infeasible path into a feasible path; a smoothness algorithm is proposed to remove the redundant information of a feasible paths.
Journal ArticleDOI
A membrane algorithm with quantum-inspired subalgorithms and its application to image processing
TL;DR: MAQIS has four distinct features from the membrane algorithms reported in the literature: initial solutions are only inside the skin membrane; different regions separated by membranes have different components of the algorithm.
References
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Journal ArticleDOI
Computing with Membranes
TL;DR: It is proved that the P systems with the possibility of objects to cooperate characterize the recursively enumerable sets of natural numbers; moreover, systems with only two membranes suffice.
Journal Article
Spiking Neural P Systems
TL;DR: In this article, the authors introduce a class of neural-like P systems which they call spiking neural P systems (in short, SN P systems), in which the result of a computation is the time between the moments when a specified neuron spikes.
Book ChapterDOI
Grammar Systems: A Grammatical Approach to Distribution and Cooperation
TL;DR: This book investigates two major systems, cooperating distributed grammar systems and parallel communicating grammar systems, which concerns hierarchies with respect to different variants of cooperation, relations with classical formal language theory, syntactic parameters such as the number of components and their size, power of synchronization, and general notions generated from artificial intelligence.