logo
Product categories

EbookNice.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://ebooknice.com/page/post?id=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.

EbookNice Team

(Ebook) Applied Evolutionary Algorithms for Engineers using Python by Leonardo Azevedo Scardua ISBN 9780367263133, 9780367711368, 0367263130, 0367711362

  • SKU: EBN-38242738
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.6

32 reviews
Instant download (eBook) Applied Evolutionary Algorithms for Engineers using Python after payment.
Authors:Leonardo Azevedo Scardua
Pages:0 pages.
Year:2021
Editon:1
Publisher:CRC Press
Language:english
File Size:7.25 MB
Format:pdf
ISBNS:9780367263133, 9780367711368, 0367263130, 0367711362
Categories: Ebooks

Product desciption

(Ebook) Applied Evolutionary Algorithms for Engineers using Python by Leonardo Azevedo Scardua ISBN 9780367263133, 9780367711368, 0367263130, 0367711362

Applied Evolutionary Algorithms for Engineers with Python is written for students, scientists and engineers who need to apply evolutionary algorithms to practical optimization problems. The presentation of the theoretical background is complemented with didactical Python implementations of evolutionary algorithms that researchers have recently applied to complex optimization problems. Cases of successful application of evolutionary algorithms to real-world like optimization problems are presented, together with source code that allows the reader to gain insight into the idiosyncrasies of the practical application of evolutionary algorithms.
Key Features
Includes detailed descriptions of evolutionary algorithm paradigms
Provides didactic implementations of the algorithms in Python, a programming language that has been widely adopted by the AI community
Discusses the application of evolutionary algorithms to real-world optimization problems
Presents successful cases of the application of evolutionary algorithms to complex optimization problems, with auxiliary source code.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products