Special Issue "Modeling, Simulation and Design of Membrane Computing System"
Deadline for manuscript submissions: closed (28 February 2021) | Viewed by 12570
Interests: computational modeling; membrane computing; design and development of simulation tools for computational models; computational complexity; artificial intelligence
Interests: Computational Complexity Theory; membrane computing; computational modelling for systems biology and population dynamics; natural computing; bioinformatics
Interests: membrane computing; complexity; bioinspired models of computation; computational modelling; natural computing; membrane systems simulation; artificial intelligence; machine learning; optimization; genetic algorithms; cellular automata
Membrane Computing has attracted a considerable amount of attention since its inception in 1998. This branch of natural computing is supported by solid foundations on theoretical computer science, from the formal languages theory to studies of computational power and complexity. It provides computational devices (P systems or membrane systems) inspired from cells, tissues, and neural connections, including many variants proved universal and able to solve computationally hard problems. From the point of view of real-life applications, different types of P systems have been successfully applied as suitable and interesting tools for the computational modeling of complex systems in a wide range of areas as systems biology, ecology, robot control or economy, among others. Additionally, hybrid systems known as membrane algorithms, taking elements from membrane computing and other nature-inspired algorithms, have provided competitive solutions to optimization problems. These models, based on membrane computing, have shown interesting features for a modeling framework, such as relevance, understandability, extensibility, and computability. In order for these computational models of complex systems to become useful practical tools for researchers in theoretical computing and in applied sciences, a crucial aspect to focus on is the development of software-hardware simulators to capture the mechanisms of the computational devices and properly represent the behavior of the systems under study. Depending on their scope, these tools must address different challenges in terms of feasibility, reliability, usability, efficiency, etc., and must cover everything from specific-purpose accurate apps for certain problems to general-purpose tools for the modeling, debugging, model checking, verification and virtual experimentation through the simulation of the corresponding models designed.
This Special Issue on the “Modeling, Simulation, and Design of Membrane Computing Systems” aims to provide a relevant compilation of novel significant advances in the computational modeling of complex systems based on membrane computing and the development of software tools to aid in the design and simulation of such models. Ground-breaking contributions are welcomed in the fields of the design of membrane P systems, modeling frameworks, and simulation tools. Topics include, but are not limited to:
- Novel modeling techniques within membrane computing
- Complex systems modeling based on P systems
- Applications of membrane computing models in real problems in Biology, Medicine, Economy, Robotics, etc.
- Simulation algorithms
- Software tools to aid in the modeling, verification and simulation of membrane systems
- Hardware implementations, and High Performance Computing
- Design of membrane computing solutions to relevant problems
- Automatic design of membrane systems
- Membrane algorithms to solve optimization problems
- Theoretical contributions providing membrane system variants suitable for modelling
Dr. Luis Valencia Cabrera
Prof. Dr. Mario de Jesús Pérez Jiménez
Prof. Dr. Agustín Riscos Núñez
Manuscript Submission Information
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- Membrane computing
- Simulation of P systems
- Computational modeling of complex systems
- Automatic design of membrane systems
- Real-life bio-inspired models
- Natural computing
- Membrane algorithms
- High Performance Computing simulators for membrane systems
- Spiking neural P systems
- Cell-inspired models