Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®
eBook - ePub

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®

  1. 601 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK®

About this book

Considered one of the most innovative research directions, computational intelligence (CI) embraces techniques that use global search optimization, machine learning, approximate reasoning, and connectionist systems to develop efficient, robust, and easy-to-use solutions amidst multiple decision variables, complex constraints, and tumultuous environments. CI techniques involve a combination of learning, adaptation, and evolution used for intelligent applications.

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® explores the performance of CI in terms of knowledge representation, adaptability, optimality, and processing speed for different real-world optimization problems.

Focusing on the practical implementation of CI techniques, this book:

  • Discusses the role of CI paradigms in engineering applications such as unit commitment and economic load dispatch, harmonic reduction, load frequency control and automatic voltage regulation, job shop scheduling, multidepot vehicle routing, and digital image watermarking
  • Explains the impact of CI on power systems, control systems, industrial automation, and image processing through the above-mentioned applications
  • Shows how to apply CI algorithms to constraint-based optimization problems using MATLAB® m-files and Simulink® models
  • Includes experimental analyses and results of test systems

Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/ Simulink® provides a valuable reference for industry professionals and advanced undergraduate, postgraduate, and research students.

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Yes, you can access Computational Intelligence Paradigms for Optimization Problems Using MATLAB®/SIMULINK® by S. Sumathi,L. Ashok Kumar,Surekha. P in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. Acknowledgments
  8. Authors
  9. 1. Introduction
  10. 2. Unit Commitment and Economic Load Dispatch Problem
  11. 3. Harmonic Reduction in Power Systems
  12. 4. Voltage and Frequency Control in Power Systems
  13. 5. Job Shop Scheduling Problem
  14. 6. Multidepot Vehicle Routing Problem
  15. 7. Digital Image Watermarking
  16. Appendix A: Unit Commitment and Economic Load Dispatch Test Systems
  17. Appendix B: Harmonic Reduction—MATLAB®/Simulink® Models
  18. Appendix C: MATLAB®/Simulink® Functions—An Overview
  19. Appendix D: Instances of Job-Shop Scheduling Problems
  20. Appendix E: MDVRP Instances
  21. Appendix F: Image Watermarking Metrics and Attacks
  22. Index