Nature-inspired computing paradigms in systems reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) / edited by Mohamed Arezki Mellal, Michael G. Pecht.

Other author Mellal, Mohamed Arezki.
Other author Pecht, Michael.
Format Electronic
Publication InfoLondon, United Kingdom ; San Diego, CA, United States : Academic Press, an imprint of Elsevier, [2021]
Descriptionxv, 127 pages : illustrations ; 24 cm
Supplemental ContentFull text available from eBook - Engineering 2021 [EBCE21]
Subjects

Partial contents Reliability optimization of power plant safety system using grey wolf optimizer and shuffled frog-leaping algorithm / Mohamed Arezki Mellar, Abir Frik, Roumaissa Boutiche -- Design optimization of a car side safety system by particle swarm optimization of grey wolf optimizer / Ikram Hamadache, Mohamed Arezki Mellal -- Genetic algorithms: principles and application in RAMS / Mohammad Ali Farsi.
Abstract "Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability"-- Provided by publisher.
General noteMinimal Level Cataloging Plus.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2021943522
ISBN9780128237496 (paperback)
ISBN(ebook)

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