Nature-Inspired Computing Paradigms in Systems

Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM)

1st Edition - June 18, 2021
Imprint: Academic Press
Editors: Mohamed Arezki Mellal, Michael G. Pecht
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 3 7 4 9 - 6
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 3 7 5 0 - 2

Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several a… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Contributors
Editor biographies
Preface
Acknowledgment
Chapter 1: Reliability optimization of power plant safety system using grey wolf optimizer and shuffled frog-leaping algorithm
Abstract
1: Introduction
2: Literature review
3: Problem description
4: Grey wolf optimizer
5: Shuffled frog-leaping algorithm
6: Results and discussion
7: Conclusions
Chapter 2: Design optimization of a car side safety system by particle swarm optimization and grey wolf optimizer
Abstract
1: Introduction
2: Design optimization of a car side safety system
3: Particle swarm optimization
4: Grey wolf optimizer
5: Results and discussion
6: Conclusions
Chapter 3: Genetic algorithms: Principles and application in RAMS
Abstract
1: Introduction
2: GA construction
3: Stop condition
4: GA applications
5: Industry 4.0 and optimization
6: Advantages and disadvantages of the GA
7: Conclusion
Chapter 4: Evolutionary optimization for resilience-based planning for power distribution networks
Abstract
1: Introduction
2: Problem description and formulation
3: Solution methodology
4: Results
5: Conclusions
Chapter 5: Application of nature-inspired computing paradigms in optimal design of structural engineering problems—a review
Abstract
1: Introduction
2: Nature-inspired algorithms
3: Nature-inspired metaheuristics in optimal design of structural engineering problems
4: Discussion
5: Conclusions
Chapter 6: A data-driven model for fire safety strategies assessment using artificial neural networks and genetic algorithms
Abstract
Acknowledgments
1: Introduction
2: Methodology
3: Results and discussions
4: Conclusions
Chapter 7: Application of artificial neural networks in polymer electrolyte membrane fuel cell system prognostics
Abstract
1: Introduction
2: Description of fuel cell test bench and experimental data
3: A hybrid approach for PEMFC prognosis
4: Effectiveness of proposed hybrid approach in PEMFC predictions
5: Input parameter optimization using correlation-based analysis
6: Conclusion
Chapter 8: Reliability redundancy allocation problems under fuzziness using genetic algorithm and dual-connection numbers
Abstract
1: Introduction
2: Prerequisite mathematics
3: Problem formulation: Reliability redundancy allocation problem (RRAP)
4: Solution procedure: Genetic algorithm-based constrained handling approach
5: Numerical example
6: Concluding remarks
Index

Mohamed Arezki Mellal

Prof. Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Boumerdes, Algeria. He was temporarily associated with Teaching and Research (ATER) at the Department of Industrial Engineering and Maintenance, University Institute of Technology Louis Pasteur, University of Strasbourg, France. He is affiliated to the LMSS Laboratory (Solid Mechanics and Systems Laboratory, M’Hamed Bougara University, Algeria) and was affiliated to the Control, Vision and Robotics team of the ICube Laboratory (The Engineering Science, Computer Science and Imaging Laboratory, University of Strasbourg, France). Prof Mellal has contributed to papers on reliability and cost optimization of fuel cell systems, heat and power dispatch using flower pollination algorithms, and heterogeneous components in pharmaceutical production plants, among many others.

Affiliations and expertise

Université de Boumerdes, Boumerdes, Algeria

Michael G. Pecht

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.

Affiliations and expertise

CALCE (Center for Advanced Life Cycle Engineering), University of Maryland, USA

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health