Computational intelligence in sustainable reliability engineering

• Titel: Computational intelligence in sustainable reliability engineering
• Mitwirkende: Malik, S. C. [HerausgeberIn]
• Verf.angabe: edited by S.C. Malik [and more]
• Verlagsort: Hoboken, NJ ; Beverly, MA
• Verlag: Scrivener Publishing
• Jahr: 2023
• Umfang: 1 online resource.
• Gesamttitel/Reihe: Smart and Sustainable Intelligent Systems Ser
• Fussnoten: Includes index. - Description based on online resource; title from digital title page (viewed on April 25, 2023)
• ISBN: 978-1-119-86542-1
• ISBN: 1-119-86542-5
• ISBN: 978-1-119-86541-4
• ISBN: 1-119-86541-7
• ISBN: 978-1-119-86540-7
• ISBN: 1-119-86540-9
• ISBN: 978-1-119-86501-8
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Computational intelligence
• Sach-SW: Reliability (Engineering)
• Sach-SW: Sustainable development
• K10plus-PPN: 1850985642
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4343661806
• Lokale URL Inst.: Zum Volltext

Abstract

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. Audience Researchers, industry professionals, and post-graduate students in reliability engineering, manufacturing, materials, and design.