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Real-life applications with membrane...

Gheorghe, Marian.

Real-life applications with membrane computing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Real-life applications with membrane computingby Gexiang Zhang, Mario J. Perez-Jimenez, Marian Gheorghe.
Author:	Zhang, Gexiang.
other author:	Perez-Jimenez, Mario J.
Published:	Cham :Springer International Publishing :2017.
Description:	xii, 355 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Natural computation.
Online resource:	http://dx.doi.org/10.1007/978-3-319-55989-6
ISBN:	9783319559896$q(electronic bk.)

Real-life applications with membrane computing
Zhang, Gexiang.

Real-life applications with membrane computing[electronic resource] /by Gexiang Zhang, Mario J. Perez-Jimenez, Marian Gheorghe. - Cham :Springer International Publishing :2017. - xii, 355 p. :ill. (some col.), digital ;24 cm. - Emergence, complexity and computation,v.252194-7287 ;. - Emergence, complexity and computation ;v.5..

Membrane Computing - Key Concepts and Deﬁnitions -- 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.

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.

ISBN: 9783319559896$q(electronic bk.)

Standard No.: 10.1007/978-3-319-55989-6doiSubjects--Topical Terms:

339160
Natural computation.

LC Class. No.: QA76.9.N37

Dewey Class. No.: 006.38

Real-life applications with membrane computing
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245 1 0 $a Real-life applications with membrane computing $h [electronic resource] / $c by Gexiang Zhang, Mario J. Perez-Jimenez, Marian Gheorghe.
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490 1 $a Emergence, complexity and computation, $x 2194-7287 ; $v v.25
505 0 $a Membrane Computing - Key Concepts and Deﬁnitions -- 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.
520 $a 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.
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