14.07.2013 Views

Evolutionary Algorithms: Introduction Jiˇr´ı Kubal´ık Department of ...

Evolutionary Algorithms: Introduction Jiˇr´ı Kubal´ık Department of ...

Evolutionary Algorithms: Introduction Jiˇr´ı Kubal´ık Department of ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

pInitialization<br />

:: Random<br />

randomly generated solutions,<br />

no prior information about the shape <strong>of</strong> the sought solution,<br />

relies just on ”lucky” sampling <strong>of</strong> the whole search space by a finite set <strong>of</strong> samples.<br />

:: Informed (pre-processing)<br />

(meta)heuristic routines used for seeding the initial population,<br />

biased random generator sampling regions <strong>of</strong> the search space that are likely to contain the<br />

sought solutions,<br />

+ may help to find better solutions,<br />

+ may speed up the search process,<br />

– may cause irreversible focusing <strong>of</strong> the search process on regions with local optima.<br />

<strong>Evolutionary</strong> <strong>Algorithms</strong>: Intro

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!