Real-life Applications with Membrane Computing

Real-life Applications with Membrane Computing
Author: Gexiang Zhang
Publisher: Springer
Total Pages: 365
Release: 2017-04-05
Genre: Technology & Engineering
ISBN: 3319559893

This book thoroughly investigates the underlying theoretical basis of membrane computing models, and reveals their latest applications. In addition, to date there have been no illustrative case studies or complex real-life applications that capitalize on the full potential of the sophisticated membrane systems computational apparatus; gaps that this book remedies. By studying various complex applications – including engineering optimization, power systems fault diagnosis, mobile robot controller design, and complex biological systems involving data modeling and process interactions – the book also extends the capabilities of membrane systems models with features such as formal verification techniques, evolutionary approaches, and fuzzy reasoning methods. As such, the book offers a comprehensive and up-to-date guide for all researchers, PhDs and undergraduate students in the fields of computer science, engineering and the bio-sciences who are interested in the applications of natural computing models.

Applications of Membrane Computing in Systems and Synthetic Biology

Applications of Membrane Computing in Systems and Synthetic Biology
Author: Pierluigi Frisco
Publisher: Springer Science & Business Media
Total Pages: 277
Release: 2013-12-17
Genre: Technology & Engineering
ISBN: 3319031910

Membrane Computing was introduced as a computational paradigm in Natural Computing. The models introduced, called Membrane (or P) Systems, provide a coherent platform to describe and study living cells as computational systems. Membrane Systems have been investigated for their computational aspects and employed to model problems in other fields, like: Computer Science, Linguistics, Biology, Economy, Computer Graphics, Robotics, etc. Their inherent parallelism, heterogeneity and intrinsic versatility allow them to model a broad range of processes and phenomena, being also an efficient means to solve and analyze problems in a novel way. Membrane Computing has been used to model biological systems, becoming with time a thorough modeling paradigm comparable, in its modeling and predicting capabilities, to more established models in this area. This book is the result of the need to collect, in an organic way, different facets of this paradigm. The chapters of this book, together with the web pages accompanying them, present different applications of Membrane Systems to Biology. Deterministic, non-deterministic and stochastic systems paired with different algorithms and methodologies show the full potential of this framework. The book is addressed to researchers interested in applications of discrete biological models and the interplay between Membrane Systems and other approaches to analyze complex systems.

Membrane Computing

Membrane Computing
Author: Gheorghe Paun
Publisher: Springer Science & Business Media
Total Pages: 425
Release: 2012-12-06
Genre: Computers
ISBN: 3642561969

Membrane computing is an unconventional model of computation associated with a new computing paradigm. The field of membrane computing was initiated in 1998 by the author of this book; it is a branch of natural computing inspired by the structure and functioning of the living cell and devises distributed parallel computing models in the form of membrane systems. This book is the first monograph surveying the new field in a systematic and coherent way. It presents the central notions and results: the main classes of P systems, the main results about their computational power and efficiency, a complete bibliography, and a series of open problems and research topics.

Applications of Membrane Computing

Applications of Membrane Computing
Author: Gabriel Ciobanu
Publisher: Springer Science & Business Media
Total Pages: 448
Release: 2007-08-06
Genre: Computers
ISBN: 3540299378

Membrane computing is a branch of natural computing which investigates computing models abstracted from the structure and functioning of living cells and from their interactions in tissues or higher-order biological structures. The models considered, called membrane systems (P systems), are parallel, distributed computing models, processing multisets of symbols in cell-like compartmental architectures. In many applications membrane systems have considerable advantages – among these are their inherently discrete nature, parallelism, transparency, scalability and nondeterminism. In dedicated chapters, leading experts explain most of the applications of membrane computing reported so far, in biology, computer science, computer graphics and linguistics. The book also contains detailed reviews of the software tools used to simulate P systems.

Membrane Computing Models: Implementations

Membrane Computing Models: Implementations
Author: Gexiang Zhang
Publisher: Springer Nature
Total Pages: 292
Release: 2021-07-01
Genre: Computers
ISBN: 9811615667

The theoretical basis of membrane computing was established in the early 2000s with fundamental research into the computational power, complexity aspects and relationships with other (un)conventional computing paradigms. Although this core theoretical research has continued to grow rapidly and vigorously, another area of investigation has since been added, focusing on the applications of this model in many areas, most prominently in systems and synthetic biology, engineering optimization, power system fault diagnosis and mobile robot controller design. The further development of these applications and their broad adoption by other researchers, as well as the expansion of the membrane computing modelling paradigm to other applications, call for a set of robust, efficient, reliable and easy-to-use tools supporting the most significant membrane computing models. This work provides comprehensive descriptions of such tools, making it a valuable resource for anyone interested in membrane computing models.

Bio-Inspired Computing for Information Retrieval Applications

Bio-Inspired Computing for Information Retrieval Applications
Author: Acharjya, D.P.
Publisher: IGI Global
Total Pages: 411
Release: 2017-02-14
Genre: Computers
ISBN: 1522523766

The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Molecular Computing and Bioinformatics

Molecular Computing and Bioinformatics
Author: Xiangxiang Zeng
Publisher: MDPI
Total Pages: 390
Release: 2019-07-11
Genre: Science
ISBN: 3039211951

This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Bio-Inspired Computing -- Theories and Applications

Bio-Inspired Computing -- Theories and Applications
Author: Maoguo Gong
Publisher: Springer
Total Pages: 743
Release: 2015-12-23
Genre: Computers
ISBN: 3662490145

This book constitutes the proceedings of the 10th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2015, held in Hefei, China, in September 2015.The 63 revised full papers presented were carefully reviewed and selected from 182 submissions. The papers deal with the following main topics: evolutionary computing, neural computing, DNA computing, and membrane computing.

Bio-Inspired Computing: Theories and Applications

Bio-Inspired Computing: Theories and Applications
Author: Linqiang Pan
Publisher: Springer Nature
Total Pages: 653
Release: 2021-03-31
Genre: Computers
ISBN: 9811613540

This volume constitutes the revised selected papers of the 15th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2020, held in Qingdao, China, in October 2020. The 43 full papers presented in both volumes were selected from 109 submissions. The papers are organized according to the topical headings: evolutionary computation and swarm intelligence; neural networks and machine learning; DNA computing and membrane computing.