Membrane Computing in Optimization: From Biology to Algorithms - Tapa blanda

Nabil, Emad; Badr, Amr

 
9783659547997: Membrane Computing in Optimization: From Biology to Algorithms
Tapa blanda
ISBN 10: 3659547999 ISBN 13: 9783659547997
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem.

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Reseña del editor

Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem.

Biografía del autor

Dr. Emad Nabil works in the department of Computer Science, Faculty of Computers and Information, Cairo University. His research interests are Bio-Inspired Algorithms, P systems, Optimization and Bioinformatics. He prepared this work in collaboration with Prof. Amr Badr, Faculty of Computers and Information, Cairo University.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659547999
ISBN 13 
9783659547997
Encuadernación
Tapa blanda
Número de páginas
172
Contacto del fabricante
no disponible
Persona responsable
no disponible