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

Analysis And Comparison Of Metaheuristics Erik Cuevas Omar Avalos

  • SKU: BELL-47160510
Analysis And Comparison Of Metaheuristics Erik Cuevas Omar Avalos
$ 31.00 $ 45.00 (-31%)

4.4

62 reviews

Analysis And Comparison Of Metaheuristics Erik Cuevas Omar Avalos instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 5.63 MB
Pages: 229
Author: Erik Cuevas, Omar Avalos, Jorge Gálvez
ISBN: 9783031201042, 3031201043
Language: English
Year: 2022

Product desciption

Analysis And Comparison Of Metaheuristics Erik Cuevas Omar Avalos by Erik Cuevas, Omar Avalos, Jorge Gálvez 9783031201042, 3031201043 instant download after payment.

This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas.

Related Products