logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Multiobjective Swarm Intelligence Theoretical Advances And Applications 1st Edition Satchidananda Dehuri

  • SKU: BELL-5056440
Multiobjective Swarm Intelligence Theoretical Advances And Applications 1st Edition Satchidananda Dehuri
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Multiobjective Swarm Intelligence Theoretical Advances And Applications 1st Edition Satchidananda Dehuri instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 7.74 MB
Pages: 201
Author: Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda (eds.)
ISBN: 9783662463086, 3662463083
Language: English
Year: 2015
Edition: 1

Product desciption

Multiobjective Swarm Intelligence Theoretical Advances And Applications 1st Edition Satchidananda Dehuri by Satchidananda Dehuri, Alok Kumar Jagadev, Mrutyunjaya Panda (eds.) 9783662463086, 3662463083 instant download after payment.

The aim of this book is to understand the state-of-the-art theoretical and practical advances of swarm intelligence. It comprises seven contemporary relevant chapters. In chapter 1, a review of Bacteria Foraging Optimization (BFO) techniques for both single and multiple criterions problem is presented. A survey on swarm intelligence for multiple and many objectives optimization is presented in chapter 2 along with a topical study on EEG signal analysis. Without compromising the extensive simulation study, a comparative study of variants of MOPSO is provided in chapter 3. Intractable problems like subset and job scheduling problems are discussed in chapters 4 and 7 by different hybrid swarm intelligence techniques. An attempt to study image enhancement by ant colony optimization is made in chapter 5. Finally, chapter 7 covers the aspect of uncertainty in data by hybrid PSO.

Related Products