Like artificial neural networks, evolutionary algorithms, swarm intelligence, cellular automata and DNA computing, membrane computing is also a branch of natural computing or nature-inspired computing and was initiated by Gheorghe Păun in 1998. It aims to abstract computing models, called membrane systems or P systems, from the structure and the functioning of the living cell as well as from the cooperation of cells in tissues, organs, and populations of cells. This research area has grown into a vigorous scientific discipline and has attracted a large number of researchers all over the world. For more information, please refer to the P systems Webpage and to the International Membrane Computing Society Webpage.
CMC 2023 is organised to provide an open platform to bring together scholars worldwide to present their recent work on membrane computing, on topics related to theory, application and implementation of membrane computing but not limited to as follows:
- Theoretical aspects of membrane computing
- Various variants of computing models: cell-, tissue- and neural-like P systems.
- Computing power of membrane computing models.
- Computing efficiency of membrane computing models.
- Applications of membrane computing
- Robot controller design.
- Modeling using P systems for biosystems, biomedicine, ecological systems, etc.
- Membrane-inspired optimization algorithms for various problems.
- Fault diagnosis of various systems, such as robots, power systems, etc.
- Information and communication technologies.
- Information security and cryptography.
- Other applications.
- Implementation of membrane computing models
- Software implementation.
- Hardware implementation.
- Biological implementation.
- Biochip implementation.
- Other implementation.
- Related topics
- Bio-Inspired Optimization Techniques, such as optimization algorithms inspired by cells or DNA computing.
- Other topics related to membrane computing or dealing with cellular computing, DNA computing, reaction systems, etc.