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

Learning In Economics Analysis And Application Of Genetic Algorithms 1st Edition Thomas Riechmann Auth

  • SKU: BELL-4526894
Learning In Economics Analysis And Application Of Genetic Algorithms 1st Edition Thomas Riechmann Auth
$ 31.00 $ 45.00 (-31%)

4.7

56 reviews

Learning In Economics Analysis And Application Of Genetic Algorithms 1st Edition Thomas Riechmann Auth instant download after payment.

Publisher: Physica-Verlag Heidelberg
File Extension: PDF
File size: 4.64 MB
Pages: 180
Author: Thomas Riechmann (auth.)
ISBN: 9783642576126, 9783790813845, 3642576125, 3790813842
Language: English
Year: 2001
Edition: 1

Product desciption

Learning In Economics Analysis And Application Of Genetic Algorithms 1st Edition Thomas Riechmann Auth by Thomas Riechmann (auth.) 9783642576126, 9783790813845, 3642576125, 3790813842 instant download after payment.

The book is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. The book reveals close relationships between the theory of economic learning via genetic algorithms, dynamic game theory, and evolutionary economics.
Genetic algorithms are here introduced as metaphors for processes of social and individual learning in economics. The book gives a simple description of the basic structures of economic genetic algorithms, followed by an in-depth analysis of their working principles. Several well-known economic models are reconstructed to incorporate genetic algorithms. Genetic algorithms thus help to find genuinely new results of well-known economic problems.

Related Products