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

Foundations Of Genetic Programming 1st Edition William B Langdon

  • SKU: BELL-4200006
Foundations Of Genetic Programming 1st Edition William B Langdon
$ 31.00 $ 45.00 (-31%)

4.3

8 reviews

Foundations Of Genetic Programming 1st Edition William B Langdon instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 8.01 MB
Pages: 260
Author: William B. Langdon, Riccardo Poli (auth.)
ISBN: 9783642076329, 9783662047262, 3642076327, 3662047268
Language: English
Year: 2002
Edition: 1

Product desciption

Foundations Of Genetic Programming 1st Edition William B Langdon by William B. Langdon, Riccardo Poli (auth.) 9783642076329, 9783662047262, 3642076327, 3662047268 instant download after payment.

Genetic programming (GP), one of the most advanced forms of evolutionary computation, has been highly successful as a technique for getting computers to automatically solve problems without having to tell them explicitly how. Since its inceptions more than ten years ago, GP has been used to solve practical problems in a variety of application fields. Along with this ad-hoc engineering approaches interest increased in how and why GP works. This book provides a coherent consolidation of recent work on the theoretical foundations of GP. A concise introduction to GP and genetic algorithms (GA) is followed by a discussion of fitness landscapes and other theoretical approaches to natural and artificial evolution. Having surveyed early approaches to GP theory it presents new exact schema analysis, showing that it applies to GP as well as to the simpler GAs. New results on the potentially infinite number of possible programs are followed by two chapters applying these new techniques.

Related Products