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
Stock photo: cover may vary

Evolutionary Optimization Algorithms Hardback - 2021

by Badar, Altaf Q. H

Add to wish list
  • New
  • Hardback
New

Description

CRC Pr I Llc, 2021. Hardcover. New. 261 pages. 9.25x6.25x0.75 inches.
Ask the seller a question Add to wish list
A$377.41
A$29.09 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Revaluation Books (Devon, United Kingdom)
The BIBLIO Guarantee

Details

  • Title Evolutionary Optimization Algorithms
  • Author Badar, Altaf Q. H
  • Binding Hardback
  • Condition New
  • Pages 274
  • Volumes 1
  • Language ENG
  • Publisher CRC Pr I Llc
  • Publication date 2021
  • Illustrated Yes
  • Features Bibliography, Illustrated
  • Bookseller's Inventory # x-0367750546
  • ISBN 9780367750541 / 0367750546
  • Weight 1.23 lbs (0.56 kg)
  • Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
  • Category Technology & Industrial Arts
  • Quantity available 2

About Revaluation Books Devon, United Kingdom

Biblio member since 2020

General bookseller of both fiction and non-fiction.

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Revaluation Books

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-