Nature-Inspired Optimization Algorithms
eBook - ePub

Nature-Inspired Optimization Algorithms

  1. 260 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Nature-Inspired Optimization Algorithms

About this book

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with simple solutions to complex problems in an effective and adaptive manner. The study of the intelligent survival strategies of animals, birds, and insects in a hostile and ever-changing environment has led to the development of techniques emulating their behavior.

This book is a lucid description of fifteen important existing optimization algorithms based on swarm intelligence and superior in performance. It is a valuable resource for engineers, researchers, faculty, and students who are devising optimum solutions to any type of problem ranging from computer science to economics and covering diverse areas that require maximizing output and minimizing resources. This is the crux of all optimization algorithms.
Features:

  • Detailed description of the algorithms along with pseudocode and flowchart

  • Easy translation to program code that is also readily available in Mathworks website for some of the algorithms

  • Simple examples demonstrating the optimization strategies are provided to enhance understanding

  • Standard applications and benchmark datasets for testing and validating the algorithms are included

This book is a reference for undergraduate and post-graduate students. It will be useful to faculty members teaching optimization. It is also a comprehensive guide for researchers who are looking for optimizing resources in attaining the best solution to a problem. The nature-inspired optimization algorithms are unconventional, and this makes them more efficient than their traditional counterparts.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Nature-Inspired Optimization Algorithms by Vasuki A in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Author
  8. 1 Introduction
  9. 2 Classical Optimization Methods
  10. 3 Nature-Inspired Algorithms
  11. 4 Genetic Algorithm
  12. 5 Genetic Programming
  13. 6 Particle Swarm Optimization
  14. 7 Differential Evolution
  15. 8 Ant Colony Optimization
  16. 9 Bee Colony Optimization
  17. 10 Fish School Search Algorithm
  18. 11 Cuckoo Search Algorithm
  19. 12 Firefly Algorithm
  20. 13 Bat Algorithm
  21. 14 Flower Pollination Algorithm
  22. 15 Gray Wolf Optimization
  23. 16 Elephant Herding Optimization
  24. 17 Crow Search Algorithm
  25. 18 Raven Roosting Optimization Algorithm
  26. 19 Applications
  27. 20 Conclusion
  28. Index