PERHAPS A GIFT VOUCHER FOR MUM?: MOTHER'S DAY

Close Notification

Your cart does not contain any items

$227.95

Paperback

Not in-store but you can order this
How long will it take?

QTY:

English
Academic Press Inc
18 June 2021
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.

Edited by:   , , ,
Imprint:   Academic Press Inc
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   270g
ISBN:   9780128237496
ISBN 10:   012823749X
Series:   Intelligent Data-Centric Systems
Pages:   144
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Optimization 1. RAMS+C (reliability, availability, maintainability, safety and cost) 2. Optimal design 3. Diagnostic 4. Resilience and vulnerability 5. Prognostics and Health Management (PHM) 6. Risk assessment and mitigation 7. Faults 8. Obsolescence 9. Lifetime and lifecycle prediction Methods of interest include, but are not limited to 10. Genetic algorithms 11. Particle swarm optimization 12. Differential evolution 13. Cuckoo algorithms 14. Artificial bee colony 15. Ant colony optimization 16. Artificial neural networks 17. Brain 18. Inspired computing 19. Hybrid techniques

Mohamed Arezki Mellal. He is an Associate Professor at the Department of Mechanical Engineering, Faculty of Technology, M'Hamed Bougara University, Algeria and a Visiting Scholar at the Center for Advanced Life Cycle Engineering, Department of Mechanical Engineering, University of Maryland, College Park, MD, USA. Likewise, he was a Visiting Scholar at Osaka Electro-Communication University, Japan; Korea Aerospace University, South Korea; and University of Essex, UK. He is a member of the Algerian National Laboratory for Maintenance Education in conjunction with the European Union (Erasmus+). He has also been a committee member for over seventy international conferences. He serves as a regular reviewer for 18 SCI-indexed journals and an editorial board member in seven peer-reviewed international journals. His research interests include developing new bio-inspired optimization methods for solving engineering problems of system dependability, manufacturing and energy efficiency. He is the founder and director of CALCE (Center for Advanced Life Cycle Engineering) at the University of Maryland, which is funded by over 150 of the world’s leading electronics companies at more than US$6M/year. He is a Professional Engineer, an IEEE Fellow, an ASME Fellow, an SAE Fellow, and an IMAPS Fellow. He is currently serving as editor-in-chief of Circuit World. He served as editor-in-chief of IEEE Access for 6 years, as editor-in-chief of IEEE Transactions on Reliability for 9 years, and as editor-in-chief of Microelectronics Reliability for 16 years. He has also served on three U.S. National Academy of Science studies, two U.S. Congressional investigations in automotive safety, and as an expert to the U.S. FDA. He is also a Chair Professor. He consults for 22 major international electronics companies, providing expertise in strategic planning, design, test, prognostics, IP and risk assessment of electronic products and systems.

See Also