LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Publisher: Department of Automatic Control and Systems Engineering
Languages: English
Types: Book
Subjects:
Genetic Algorithms (GA's) were formally introduced by Holland (10 more than twenty years ago. Since then, numerous algorithms based on the concept of Darwinian strife for survival have been developed and applied to a large number of optimisation problems.\ud The operation of a simple GA is straightforward: Given a certain optimisation problem, an initial population of binary-coded solutions (chromosomes) is generated randomly. The performance of each solution is evaluated and assigned a "fitness" value. A new population is then created, by evolving chromosomes selected from the old population. The higher the "fitness" of an individual solution, the better its chance to be selected for the new population........
  • No references.
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article