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Comment on Mona Lisa in 50 polygons, using a genetic algorithm (2008)parent

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Lots of fun to write, I imagine. A cool demo. But computationally, after nearly a million generations it does pretty good. How does it compare to any other directional computational algorithm, e.g. decimating an accurate tessalation? I've tried genetic algorithms for industrial modeling, and not seem anything close to efficiency. If you have a computer model you don't need genetic algorithms (can use better modeling techniques); if you have a real-world model e.g. a starch conversion process, you can't afford a large number of experiments, or even ANY experiments that aren't going to yield pretty-good results.

Here is a guy who used the EvoLisa concept to create image compression. He did beat the efficency of JPG, it did however not outperform JPG2000. Still, it is a good start. http://www.screamingduck.com/Article.php?ArticleID=46&Sh...

But I do agree, GA's have limited use.

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