Evolutionary Optimization Algorithms
eBook - ePub

Evolutionary Optimization Algorithms

  1. 296 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Evolutionary Optimization Algorithms

About this book

This comprehensive reference text discusses evolutionary optimization techniques, to find optimal solutions for single and multi-objective problems.

The text presents each evolutionary optimization algorithm along with its history and other working equations. It also discusses variants and hybrids of optimization techniques. The text presents step-by-step solution to a problem and includes software's like MATLAB and Python for solving optimization problems. It covers important optimization algorithms including single objective optimization, multi objective optimization, Heuristic optimization techniques, shuffled frog leaping algorithm, bacteria foraging algorithm and firefly algorithm.

Aimed at senior undergraduate and graduate students in the field of electrical engineering, electronics engineering, mechanical engineering, and computer science and engineering, this text:



  • Provides step-by-step solution for each evolutionary optimization algorithm.


  • Provides flowcharts and graphics for better understanding of optimization techniques.


  • Discusses popular optimization techniques include particle swarm optimization and genetic algorithm.


  • Presents every optimization technique along with the history and working equations.


  • Includes latest software like Python and MATLAB.

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 Evolutionary Optimization Algorithms by Altaf Q. H. Badar in PDF and/or ePUB format, as well as other popular books in Mathematics & Electrical Engineering & Telecommunications. 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. Dedication
  6. Contents
  7. Preface
  8. Chapter 1 Introduction
  9. Chapter 2 Optimization Functions
  10. Chapter 3 Genetic Algorithm
  11. Chapter 4 Differential Evolution
  12. Chapter 5 Particle Swarm Optimization
  13. Chapter 6 Artificial Bee Colony
  14. Chapter 7 Shuffled Frog Leaping Algorithm
  15. Chapter 8 Grey Wolf Optimizer
  16. Chapter 9 Teaching Learning Based Optimization
  17. Chapter 10 Introduction to Other Optimization Techniques
  18. Real-Time Application of PSO
  19. Optimization Techniques in Python
  20. Standard Optimization Problems
  21. Bibliography
  22. Index