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

Metaheuristics Outlines Matlab Codes And Examples 1st Ed Ali Kaveh

  • SKU: BELL-10484898
Metaheuristics Outlines Matlab Codes And Examples 1st Ed Ali Kaveh
$ 31.00 $ 45.00 (-31%)

5.0

60 reviews

Metaheuristics Outlines Matlab Codes And Examples 1st Ed Ali Kaveh instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 6.98 MB
Author: Ali Kaveh, Taha Bakhshpoori
ISBN: 9783030040666, 9783030040673, 3030040666, 3030040674
Language: English
Year: 2019
Edition: 1st ed.

Product desciption

Metaheuristics Outlines Matlab Codes And Examples 1st Ed Ali Kaveh by Ali Kaveh, Taha Bakhshpoori 9783030040666, 9783030040673, 3030040666, 3030040674 instant download after payment.

The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework.
Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics.
The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.

Related Products