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Computer Science - Theoretical Computer Science | Journal of Membrane Computing

Journal of Membrane Computing

Journal of Membrane Computing

Editor-in-Chief: Linqiang Pan
Honorary Editor-in-Chief: Gheorghe Păun
Managing Editor: Gexiang Zhang

ISSN: 2523-8906 (print version)
ISSN: 2523-8914 (electronic version)

Journal no. 41965

  • Covers all aspects of membrane computing, from the theoretical fundamentals and technological advances to physical implementations  
  • Devotes special attention to core advances in interdisciplinary research and various applications
  • Integrates theories and technologies from computer science, biology, and mathematics 
  • Rapid review and publication of articles 

The Journal of Membrane Computing (JMC) provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of membrane computing: theories, interdisciplinary areas, applications, and implementations. JMC welcomes high-quality submissions that contribute to the full range of membrane computing research, from cell-like P systems, tissue P systems, spiking neural P systems, and other types of P systems, to membrane algorithms, computational complexity, interdisciplinary research combining membrane computing and evolutionary computing and neural networks, to applications like optimization and biosystem modeling, and membrane computing implementations with nanotechnology. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to spur on the advancement of an interdisciplinary community that is interested in biologically inspired computational intelligence. Accordingly, the Journal of Membrane Computing editorial board represents experts in a range of fields, including theoretical computer science, engineering, mathematics, and nanotechnology. The journal publishes original, high-quality and previously unpublished research papers, survey and review articles, short communications, and tutorial papers.

Related subjects » Artificial Intelligence - Information Systems and Applications - Mathematics - Theoretical Computer Science

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  • Aims and Scope

    Aims and Scope

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    The Journal of Membrane Computing (JMC) provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of membrane computing: theories, interdisciplinary areas, applications, and implementations. JMC welcomes high-quality submissions that contribute to the full range of membrane computing research, from cell-like P systems, tissue P systems, spiking neural P systems, and other types of P systems, to membrane algorithms, computational complexity, interdisciplinary research combining membrane computing and evolutionary computing and neural networks, to applications like optimization and biosystem modeling, and membrane computing implementations with nanotechnology. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies, and helps to spur on the advancement of an interdisciplinary community that is interested in biologically inspired computational intelligence. Accordingly, the Journal of Membrane Computing editorial board represents experts in a range of fields, including theoretical computer science, engineering, mathematics, and nanotechnology. The journal publishes original, high-quality and previously unpublished research papers, survey and review articles, short communications, and tutorial papers.

    Specific areas of interest include, but are not limited to:

    • Membrane computing
    • P systems
    • Membrane systems
    • Cellular computing
    • DNA computing
    • Molecular computing
    • Evolutionary computing
    • Neural networks
    • Unconventional computing
    • DNA nanotechnology
    • Bio-inspired computing
    • Parallel and distributed computing
    • Computational complexity
    • Membrane algorithms
    • Optimization
    • Membrane controller
    • Biosystem modeling
    • Ecosystems modeling
    • Fault diagnosis
    • Membrane computing models implementation
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  • Instructions for Authors

    Instructions for Authors

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