TY - SER AU - Pan,Linqiang AU - Păun,Gheorghe ED - SpringerLink (Online service) TI - Journal of Membrane Computing SN - 2523-8914 CY - Singapore PB - Springer Nature Singapore, Imprint: Springer. KW - Computer science KW - Artificial intelligence KW - Mathematical optimization KW - Bioinformatics KW - Theory of Computation KW - Artificial Intelligence KW - Optimization KW - Computational and Systems Biology N2 - 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 and DNA computing and DNA storage, 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 The journal publishes original, high-quality and previously unpublished research papers, survey and review articles, short communications, and tutorial papers.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 UR - http://link.springer.com/journal/41965 ER -