NEW LISTINGS 
HOT LISTINGS
TOP RATED
EDITOR PICK
ADD A LISTING
UPDATE A LISTING
GET RATED
UPGRADE A LISTING
HOT LISTINGS
TOP RATED
EDITOR PICK
ADD A LISTING
UPDATE A LISTING
GET RATED
UPGRADE A LISTING
survival of the fittest, genetic programming
9332
survival of the fittest, genetic programming
http://www-106.ibm.com/developerworks/linux/library/l-genperl/?open&l=766,t=grl,p=genPerl
Based on the Darwinian principle of survival of the fittest, genetic programming uses mutation and replication to produce algorithms for creating ever-improving computer programs. In this column, you'll get to know the genetic algorithm in simple terms. Ted provides Perl implementations for some specific tasks, which you can adapt for generic use. To demonstrate the genetic algorithm, Ted breeds numbers for fitness to a formula, and letters to form English words.
You can run the examples in this article if you have Perl 5.005 or later installed on your system. Preferably, your system should be a recent (2000 or later) mainstream UNIX (Linux, Solaris, BSD) installation, but other types of operating systems may work as well. The examples may work with earlier versions of Perl and UNIX, and other operating systems, but their failure to function should be considered an exercise for the reader to solve. CGI and Perl > Tips and Tutorials > Development Oct 11, 2006
You can run the examples in this article if you have Perl 5.005 or later installed on your system. Preferably, your system should be a recent (2000 or later) mainstream UNIX (Linux, Solaris, BSD) installation, but other types of operating systems may work as well. The examples may work with earlier versions of Perl and UNIX, and other operating systems, but their failure to function should be considered an exercise for the reader to solve. CGI and Perl > Tips and Tutorials > Development Oct 11, 2006
Write a Review
Add to My Favorite
Refer it to Friend
Report Broken Link
| |
|
||
| Bookmark survival of the fittest, genetic programming: |
|||
Other links at CGI and Perl > Tips and Tutorials > Development
Based on the Darwinian principle of survival of the fittest, genetic programming uses mutation and replication to produce algorithms for creating ever-improving computer programs. In this column, you'll get to know the genetic algorithm in simple terms. Ted provides Perl implementations for some specific tasks, which you can adapt for generic use. To demonstrate the genetic algorithm, Ted breeds numbers for fitness to a formula, and letters to form English words.
You can run the examples in this article if you have Perl 5.005 or later installed on your system. Preferably, your system should be a recent (2000 or later) mainstream UNIX (Linux, Solaris, BSD) installation, but other types of operating systems may work as well. The examples may work with earlier versions of Perl and UNIX, and other operating systems, but their failure to function should be considered an exercise for the reader to solve.
You can run the examples in this article if you have Perl 5.005 or later installed on your system. Preferably, your system should be a recent (2000 or later) mainstream UNIX (Linux, Solaris, BSD) installation, but other types of operating systems may work as well. The examples may work with earlier versions of Perl and UNIX, and other operating systems, but their failure to function should be considered an exercise for the reader to solve.
Category:
Main Category
192
2037
816
286
175
1802
1222
911
1163
7478
70
907
59
2222
174
Join Mailing List
Joining mailing list will entitle you
to receive occasional emails informing you of news and
updates to the site and any special offers that may be
of interest to you.
Top 10
Directory Statistics
Links: 19493
Categories: 1275
Registered Users: 748
Mailing List Subscribers: 2046
Unique Outgoing Hits: 227495
Pagerank Statistics
PHP News