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Problems for which you have solid models and tools (statistics) to solve them are the exact sort you wouldn't use GP or any sort of evolutionary computing (EC).
by mattrepl 17y ago
Problems for which you have solid models and tools (statistics) to solve them are the exact sort you wouldn't use GP or any sort of evolutionary computing (EC). EC is best used when the only other option is picking random solutions from the entire solution space.
At least that's what I've gathered.
- marshallp 17y agoGenetic programming is a vastly underapplied solution in modeling. You automatically get a rough mathematical model, analyze and understand and make progress with it. The scientific community hasn't really embraced what vast computational power can do. Some are catching on though - look for symbolic regression or automated scientist on google. (There's a fully automated 'robot' that does biology experiments built by a university prof in england though i'm not sure whether he usss genetic algorithms or genetic programming.)