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Membrane computing is a class of distributed parallel computing models.
Membrane computing is a branch of natural computing inspired from the architecture and the functioning of biological cells.
Evolutionary membrane computing is an important research direction of membrane computing that aims to explore the complex interactions between membrane computing and evolutionary computation.
In this paper, membrane computing is introduced to propose an efficient and robust multi-level thresholding method, where a cell-like P system with the nested structure of three layers is designed as its computing framework.
Membrane computing is a branch of natural computing using an explicit hierarchical description coming exactly from the structure and functioning of the living cell.
Authors´ response: Conceptually speaking, membrane computing is easy and intuitive but it is true that designing a P-system and preparing the xml input file for running the P system with an appropriate starting configuration is a daunting task because of the reasons you indicate.
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Membrane Computing was introduced as a computational paradigm in Natural Computing.
Membrane computing have been proved to be universal models of computation [ 34] and has been successfully used to model oscillatory systems [ 36], processes of signal transduction [ 37, 38], gene regulation control [ 39], quorum sensing [ 40], meta-populations [ 41] and ecosystems [ 42, 43] thus suggesting that anything that can be computed can be done so as a P-system.
The main areas where membrane computing has been used as a modeling framework (biology and bio-medicine, linguistics, economics, computer science, etc).
In the basic model of membrane computing, objects are represented using symbols from a given alphabet, and each symbol from this alphabet can appear inside a region in many different copies.
This motivated us to design ARES as friendly as possible in order to let the users to deal with membrane computing without being an expert in membrane computing.
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