Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials
eBook - ePub

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

  1. 196 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials

About this book

The text comprehensively discusses computational models including artificial neural networks, agent-based models, and decision field theory for reliability engineering. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, computer engineering, and materials science.

  • Discusses the development of sustainable materials using metaheuristic approaches.

  • Covers computational models such as agent-based models, ontology, and decision field theory for reliability engineering.

  • Presents swarm intelligence methods such as ant colony optimization, particle swarm optimization, and grey wolf optimization for solving the manufacturing process.

  • Include case studies for industrial optimizations.

  • Explores the use of computational optimization for reliability and maintainability theory.

The text covers swarm intelligence techniques including ant colony optimization, particle swarm optimization, cuckoo search, and genetic algorithms for solving complex industrial problems of the manufacturing industry as well as predicting reliability, maintainability, and availability of several industrial components.

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Yes, you can access Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials by Deepak Sinwar, Kamalakanta Muduli, Vijaypal Singh Dhaka, Vijander Singh, Deepak Sinwar,Kamalakanta Muduli,Vijaypal Singh Dhaka,Vijander Singh in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Editors
  9. Contributors
  10. Chapter 1 Introduction to computational intelligence for sustainable materials
  11. Chapter 2 Artificial intelligence and IoT-assisted sustainable manufacturing for Industry 4.0
  12. Chapter 3 Image analysis approaches for fault detection in quality assurance in manufacturing industries
  13. Chapter 4 Manufacturing Data Performance Prediction and Optimization
  14. Chapter 5 Data-driven optimization on the workability and strength properties of M-30 grade concrete using MOORA
  15. Chapter 6 Green energy harvesting using high entropy thermoelectric alloys
  16. Chapter 7 Augmented and virtual reality incorporation in the manufacturing industry 4.0
  17. Chapter 8 Modeling and optimization of process parameter for fatigue strength improvement by selective laser melting of AlSi10Mg
  18. Chapter 9 Role of artificial intelligence in the apparel industry in the context of Industry 4.0 and Industry 5.0
  19. Chapter 10 Swarm intelligence-based automotive manufacturing
  20. Index