Nature-Inspired Computing Paradigms in Systems

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

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  • Editors: Mohamed Arezki Mellal, Michael G. Pecht
  • eBook ISBN: 9780128237502
  • Paperback ISBN: 9780128237496

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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.

Key Features

  • Provides the latest review
  • Covers various nature-inspired techniques applied to RAMS+C and PHM problems
  • Includes techniques applied to new applications


Researchers and PhD students in Computer Science and Engineering working in RAMS+C, PHM and optimization. Industrial professionals and practitioners with interests in RAMS+C, PHM and optimization

Table of Contents

  • 1: Reliability Optimization of Power Plant Safety System Using Grey Wolf Optimizer and Shuffled Frog-leaping Algorithm

    Mohamed Arezki Mellal; Abir Frik; Roumaissa Boutiche

    2: Design Optimization of Car Side Safety System by Particle Swarm Optimization and Grey Wolf Optimizer

    Ikram Hamadache; Mohamed Arezki Mellal

    3: Genetic Algorithms Principles and Applications in RAMS

    Mohammad Ali Farsi

    4: Evolutionary Optimization for Resilience-Based Planning for Power Distribution Networks

    Nariman L. Dehghani; Chi Zhang; Abdollah Shafieezadeh

    5: Application of Nature-inspired Computing Paradigms in Optimal Design - A Review

    Amit Kumar

    6: A Data-driven Model for Fire Safety Strategies Assessment Using Artificial Neural Networks and Genetic Algorithms

    Rachid Ouache; Amin Mohammadpour Shotorbani; Kasun Hewage; Rehan Sadiq

    7: Application of Artificial Neural Networks in Polymer Electrolyte Membrane Fuel Cell System Prognostics

    Lei Mao; Kai He; Lisa Jackson; Qiang Wu

    8: Reliability Redundancy Allocation Problems under Fuzziness using Genetic Algorithm and Dual-Connection Numbers

    Laxminarayan Sahoo

Product details

  • No. of pages: 144
  • Language: English
  • Copyright: © Academic Press 2021
  • Published: June 18, 2021
  • Imprint: Academic Press
  • eBook ISBN: 9780128237502
  • Paperback ISBN: 9780128237496

About the Editors

Mohamed Arezki Mellal

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.

Affiliations and Expertise

Associate Professor, Department of Mechanical Engineering, Faculty of Technology, M'Hamed Bougara University, 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

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