Computational Intelligence in Sustainable Reliability Engineering (Smart and Sustainable Intelligent Systems)
by: S. C. Malik (Editor),Deepak Sinwar (Editor),Ashish Kumar (Editor),S. R. Gadde (Editor),Prasenjit Chatterjee (Editor),Bui Thanh Hung (Editor)
Publisher: Wiley-Scrivener
Edition: 1st
Publication Date: 2023/3/28
Language: English
Print Length: 352 pages
ISBN-10: 1119865018
ISBN-13: 9781119865018
Book Description
COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering.This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. AudienceResearchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.
About the Author
COMPUTATIONAL INTELLIGENCE IN SUBSTAINABLE RELIABILITY ENGINEERING The book is a comprehensive guide on how to apply computational intelligence techniques for the optimization of sustainable materials and reliability engineering.This book focuses on developing and evolving advanced computational intelligence algorithms for the analysis of data involved in reliability engineering, material design, and manufacturing to ensure sustainability. Computational Intelligence in Sustainable Reliability Engineering unveils applications of different models of evolutionary algorithms in the field of optimization and solves the problems to help the manufacturing industries. Some special features of this book include a comprehensive guide for utilizing computational models for reliability engineering, state-of-the-art swarm intelligence methods for solving manufacturing processes and developing sustainable materials, high-quality and innovative research contributions, and a guide for applying computational optimization on reliability and maintainability theory. The book also includes dedicated case studies of real-life applications related to industrial optimizations. AudienceResearchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.
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