home bbs files messages ]

Forums before death by AOL, social media and spammers... "We can't have nice things"

   comp.ai      Awaiting the gospel from Sarah Connor      1,954 messages   

[   << oldest   |   < older   |   list   |   newer >   |   newest >>   ]

   Message 904 of 1,954   
   girasko_aei_didaskomenos to All   
   GA Music fitness: a practical guide   
   01 Feb 06 23:54:01   
   
   XPost: comp.ai.genetic   
   From: fatecasino@yahoo.com   
      
   I am working on a simple GA in order to create a simple melody and I   
   now facing the problem of the fitness assignment. I have been searching   
   the groups but noboody seems to give a clear answer. Supposing that the   
   problem is well defined and you know what is a "good melody" and what   
   is a "bad melody" how will the fitness assignment take place? For   
   instance, let's take the chromosomes:   
      
   1 2 3 2 2 5 6 7 2   
   2 2 2 3 3 2 1 4 6   
   2 1 4 2 6 3 5 4 7  (the numbers represent notes)   
      
   If good melodies are the "5 6 7" and "3 3" what fitness will I have to   
   give  to the corresponding chromosomes in order to make them survive   
   through evolution? If I give them just a true-false fitness,   
      
   1 2 3 2 2 5 6 7 2 true   
   2 2 2 3 3 2 1 4 6 true   
   2 1 4 2 6 3 5 4 7 false   
      
   then the motif "3 3" will appear more often because it has smaller   
   length.Is there an equation that gives the rate of surviving according   
   to the length?Goldberg's investigation is only for binary   
   representation where many things are completely different.   
      
   Thanks!   
      
   [ comp.ai is moderated.  To submit, just post and be patient, or if ]   
   [ that fails mail your article to , and ]   
   [ ask your news administrator to fix the problems with your system. ]   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)   

[   << oldest   |   < older   |   list   |   newer >   |   newest >>   ]


(c) 1994,  bbs@darkrealms.ca