Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
Foundations of Genetic Algorithms, Volume 6 is the latest in a series of books that records the prestigious Foundations of Genetic Algorithms Workshops, sponsored and organised by the International Society of Genetic Algorithms specifically to address theoretical publications on genetic algorithms and classifier systems.
Genetic algorithms are one of the more successful machine learning methods. Based on the metaphor of natural evolution, a genetic algorithm searches the available information in any given task and seeks the optimum solution by replacing weaker populations with stronger ones.
- Includes research from academia, government laboratories, and industry
- Contains high calibre papers which have been extensively reviewed
- Continues the tradition of presenting not only current theoretical work but also issues that could shape future research in the field
- Ideal for researchers in machine learning, specifically those involved with evolutionary computation
- No. of pages:
- © Morgan Kaufmann 2001
- 25th June 2001
- Morgan Kaufmann
- Hardcover ISBN:
- eBook ISBN:
University of Wyoming
University of Virginia
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.