CS 478 - Evolutionary Algorithms 1 - Neural Networks and Machine ...
CS 478 - Evolutionary Algorithms 1 - Neural Networks and Machine ...
CS 478 - Evolutionary Algorithms 1 - Neural Networks and Machine ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Population size - Larger gives more diversity but with diminishing<br />
gain, small sizes of ~100 are common<br />
How many new offspring will be created at each generation (what %<br />
of current generation will not survive)<br />
<br />
<br />
– Keep selecting parents without replacement until quota filled<br />
New c<strong>and</strong>idates replace old c<strong>and</strong>idates to maintain the population<br />
constant<br />
Many variations<br />
– R<strong>and</strong>omly keep best c<strong>and</strong>idates weighted by fitness<br />
– No old c<strong>and</strong>idates kept<br />
– Always keep a fixed percentage of old vs new c<strong>and</strong>idates<br />
– Could keep highest c<strong>and</strong>idate seen so far in a special memory since it may<br />
be deleted during normal evolution<br />
<strong>CS</strong> <strong>478</strong> - <strong>Evolutionary</strong> <strong>Algorithms</strong> 15
Change language