Aim and Scope
Membrane Computing is a computing paradigm, a branch of Natural Computing, inspired from the structure and functioning of living cells, and the organization of cells in tissues and other structures, including the brain. This computing paradigm, initially introduced by Gheorghe Păun in 1998, provides distributed parallel computing devices (called, generically, P systems) processing multisets of objects (symbols, strings, numbers) by rewriting or biologically inspired evolution rules. Membrane Computing contains elements of theoretical computer science as well as neural computation and nature-inspired optimisation and, thus, can be viewed as a contact point between automata, formal languages and bio-inspired computation.
As parallel and unconventional computing devices, P systems have proved to overcome the well-known limitations imposed by the conventional techniques based on sequential machines and von Neumann architecture. Besides, due to their generality, they are extremely versatile and can be used both as “classic” computing models, as well as a framework for modelling biological and non-biological processes, also in control and optimisation.
The bibliography of the domain is already very comprehensive, including more than 120 PhD theses, tens of collective volumes, monographs and contributions in renowned journals, with topics ranging from significant theoretical results to relevant real-life applications.
This special issue collects original research works about recent advances in Membrane Computing. With this special issue, we wish to promote Membrane Computing to the general Computer Science community. Hence, we expect the articles to be accessible to/understandable by non-specialists in Membrane Computing or in Theoretical Computer Science. Theoretical results, applications, and implementation aspects are welcome. The list of topics includes but is not limited to:
New P system architectures
Studies on computational power (that is the capability of producing the same string), computing efficiency and computational complexity of P systems
P systems as number generators to solve optimisation problems
P systems as neural systems to aid optimisation algorithms
Applications of P systems to engineering problems
Computational modelling based on Membrane Computing of biomollecular processes (micro-level) and real ecosystems (macro-level)
The manuscripts should be prepared according to the “Guide for Authors” section of the journal found at: https://www.elsevier.com/journals/information-sciences/0020-0255/guide-for-authors
and submission should be done through the journal’s submission website:
by selecting “SI: MC” and also clearly indicating the full title of this special issue “Membrane Computing” in comments to the Editor-in-Chief.
Each submitted paper will be reviewed by expert reviewers. Submission of a paper will imply that it contains original unpublished work and is not being submitted for publication elsewhere.
Submission deadline: May 31st, 2021
Notification of first round: August 31st, 2021
Re-submission deadline: October 1st, 2021
Final decision: November 30th, 2021
University of Nottingham, UK
Ferrante Neri received a Master’s degree and a PhD in Electrical Engineering from the Technical University of Bari, Italy, in 2002 and 2007 respectively. In 2007, he also received a PhD in Scientific Computing and Optimization from University of Jyväskylä, Finland. From the latter institution, he received the DSc degree in Computational Intelligence in 2010. He was appointed Senior Assistant at the Department of Mathematical Information Technology at the University of Jyväskylä, Finland in 2007, and in 2009 as a Research Fellow with Academy of Finland. Dr Neri moved to De Montfort University, United Kingdom in 2012, where he was appointed Reader in Computational Intelligence and in 2013, promoted to Full Professor of Computational Intelligence Optimisation. Since 2019 Ferrante Neri moved to the School of Computer Science, University of Nottingham, United Kingdom. Ferrante Neri’s teaching expertise lies in mathematics for computer science. He has a specific long lasting experience in teaching linear and abstract algebra. His research interests include algorithmics, hybrid heuristic-exact optimisation, and Membrane Computing.
Huazhong University of Science and Technology, China
Linqiang Pan received the PhD degree from Nanjing University, Nanjing, China, in 2000. Since 2004, he has been a Professor with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. He is the deputy dean of the School of Artificial Intelligence and Automation, the head of the Research Group on Bio-inspired Computing at HUST, and the director of Hubei Province Society for Operations Research. His current research interests include membrane computing, DNA computing, and DNA nanotechnology.
University of Sevilla, Spain
Mario J. Pérez-Jiménez, full Professor at the Department of Computer Science and Artificial Intelligence at Universidad de Sevilla, Spain, since 2009, and currently Emeritus Professor. From 2005 to 2007 he was a Guest Professor of the Huazhong University of Science and Technology, Wuhan, China. He is a numerary member of the Academia Europaea (The Academy of Europe) in the Section of Informatics. His main research interests include theory of computation, computational complexity theory, natural computing (DNA computing and membrane computing), bioinformatics and computational modelling for complex systems. He has published 19 books in computer science and mathematics, and over 300 scientific papers in international journals (collaborating with researchers worldwide) and he is a member of the Editorial Board of six ISI journals. He has been the first scientist awarded with “Important Contributions to Membrane Computing” under the auspices of the European Molecular Computing Consortium, Edinburgh, 2008. In 2014, he received the University of Sevilla’s FAMA award for his outstanding research career. He has been the main researcher in various European, Asian, Spanish and Andalusian research grants. From 2003 he is an expert reviewer of the Prospective and Evaluation National Agency of Spain. From May 2006 he is an European Science Foundation peer reviewer, from July 2008 he is an expert reviewer from the Romanian National University Research Council and from October 2015 he is an international expert from the Russian Science Foundation, invited by the Russian International Affairs Council.