Stock photo: cover may vary
An Introduction to Harmony Search Optimization Method Papeback -
by Kai Zenger Xiao-Zhi Gao Xiaolei Wang
- New
A$135.63
A$5.85
Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Standard delivery: 9 to 14 days
Ships from Cold Books (New York, United States)
Details
- Title An Introduction to Harmony Search Optimization Method
- Author Kai Zenger Xiao-Zhi Gao Xiaolei Wang
- Binding Papeback
- Condition New
- Pages 88
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date pp. 96
- Bookseller's Inventory # 6142265426
- ISBN 9783319083551 / 3319083554
- Weight 0.32 lbs (0.15 kg)
- Dimensions 9.21 x 6.14 x 0.2 in (23.39 x 15.60 x 0.51 cm)
-
Themes
- Aspects (Academic): Science/Technology Aspects
- Category Computers - General Information
- Dewey Decimal Code 006.3
- Quantity available 4
About Cold Books New York, United States
Reader reviews for An Introduction to Harmony Search Optimization Method
Write a review for this book
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
From the rear cover
This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods.
The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
