Real-life Applications with Membrane Computing
Published on 5. April 2017
XII, 355 pages
978-3-319-55989-6 (ISBN)
Description
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 veri?cation 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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XII, 355 p. 148 illus., 54 illus. in color.
File size
17,21 MB
ISBN-13
978-3-319-55989-6 (9783319559896)
DOI
10.1007/978-3-319-55989-6
Schweitzer Classification
Other editions
Additional editions
Gexiang Zhang | Mario J. Pérez-Jiménez | Marian Gheorghe
Real-life Applications with Membrane Computing
Book
04/2017
Springer
€106.99
Shipment within 10-15 days
Content
Membrane Computing - Key Concepts and De?nitions.- Fundamentals of Evolutionary Computation.- Membrane Algorithms.- Engineering Optimization with Membrane Algorithms.- Electric Power System Fault Diagnosis with Membrane Systems.- Robot Control with Membrane Systems.- Data Modeling with Membrane Systems: Applications to Real Ecosystems.
