BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Evolutionary Optimization Algorithms

Evolutionary Optimization Algorithms

Evolutionary Optimization Algorithms Paperback / softback - 2024

by Altaf Q. H. Badar

Add to wish list
  • New
  • Paperback
New

Description

Paperback / softback. New. The text covers evolutionary optimizing algorithms with the help of MATLAB and Python programming in a comprehensive manner. It will be an ideal reference text for readers in diverse engineering fields including electrical, electronics and communication, computer science and mechanical engineering.
Ask the seller a question Add to wish list
A$95.63
A$19.36 Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Ships from The Saint Bookstore (Merseyside, United Kingdom)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title Evolutionary Optimization Algorithms
  • Author Altaf Q. H. Badar
  • Binding Paperback
  • Condition New
  • Pages 261
  • Volumes 1
  • Language ENG
  • Publisher CRC Press
  • Publication date 2024-10-07
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # A9781032073378
  • ISBN 9781032073378 / 1032073373
  • Weight 0.85 lbs (0.39 kg)
  • Dimensions 9.21 x 6.14 x 0.58 in (23.39 x 15.60 x 1.47 cm)
  • Category Mathematics
  • Quantity available 1

About The Saint Bookstore Merseyside, United Kingdom

Specialising in: Academic & Scholarly, Hard To Find Titles, Textbooks
Biblio member since 2018

The Saint Bookstore specialises in hard to find titles & also offers delivery worldwide for reasonable rates.

Terms of Sale: Refunds or Returns: A full refund of the price paid will be given if returned within 30 days in undamaged condition. If the product is faulty, we may send a replacement.

Browse books from The Saint Bookstore

Reader reviews for Evolutionary Optimization Algorithms

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

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.

About the author

Altaf Q. H. Badar is currently working as an assistant professor, department of electrical engineering, National Institute of Technology, Warangal. His research areas include artificial intelligence applications to power systems, evolutionary optimization techniques, and smart home energy management systems. He has taught courses including electric and magnetic fields, and real-time control of power systems. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Indian Society for Technical Education (ISTE).

Please wait a moment while we load the requested page.

tracking-