Membrane Computing Models: Implementations
Zhang, Gexiang.
Membrane Computing Models: Implementations [electronic resource] / by Gexiang Zhang, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez, Sergey Verlan, Savas Konur, Thomas Hinze, Marian Gheorghe. - 1st ed. 2021. - XXII, 279 p. 121 illus., 58 illus. in color. online resource.
Chapter 1 Introduction -- Chapter 2 P systems Implementation on P-Lingua framework -- Chapter 3 Software implementation for P systems -- Chapter 4 Infobiotics Workbench - In Silico Software Suite for Computational Biology -- Chapter 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-inspired Approaches (JENA) -- Chapter 6 P systems Implementation on CUDA.-Chapter 7 P systems Implementation on FPGA -- Chapter 8 Hardware implementations and applications.
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. .
9789811615665
10.1007/978-981-16-1566-5 doi
Computer simulation.
Software engineering.
Computer systems.
Computer programming.
Compilers (Computer programs).
Programming languages (Electronic computers).
Computer Modelling.
Software Engineering.
Computer System Implementation.
Programming Techniques.
Compilers and Interpreters.
Programming Language.
QA76.9.C65
003.3
Membrane Computing Models: Implementations [electronic resource] / by Gexiang Zhang, Mario J. Pérez-Jiménez, Agustín Riscos-Núñez, Sergey Verlan, Savas Konur, Thomas Hinze, Marian Gheorghe. - 1st ed. 2021. - XXII, 279 p. 121 illus., 58 illus. in color. online resource.
Chapter 1 Introduction -- Chapter 2 P systems Implementation on P-Lingua framework -- Chapter 3 Software implementation for P systems -- Chapter 4 Infobiotics Workbench - In Silico Software Suite for Computational Biology -- Chapter 5 Molecular Physics and Chemistry in Membranes: The Java Environment for Nature-inspired Approaches (JENA) -- Chapter 6 P systems Implementation on CUDA.-Chapter 7 P systems Implementation on FPGA -- Chapter 8 Hardware implementations and applications.
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. .
9789811615665
10.1007/978-981-16-1566-5 doi
Computer simulation.
Software engineering.
Computer systems.
Computer programming.
Compilers (Computer programs).
Programming languages (Electronic computers).
Computer Modelling.
Software Engineering.
Computer System Implementation.
Programming Techniques.
Compilers and Interpreters.
Programming Language.
QA76.9.C65
003.3