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ListOfAlgorithms = new Algorithm[](initialAlgorithmCoeffcients) | |
foreach dataset in datasets | |
foreach algorithm in ListOfAlgorithms | |
// do a trial on a dataset | |
algorithm.apply(dataset) | |
//score how the algorithms did | |
algorithm.score = ScoringFunction(algorithm.result) | |
//good algorithms live, bad ones die | |
if algorithm.score > GOOD_CUTOFF | |
algorithm.duplicate(); | |
else if algorithm.score < BAD_CUTOFF | |
algorithm.die(); | |
//mutate the algorithms to provide something for natural selection to work with | |
//Change some coefficents randomly by a small amount | |
algorithm.mutate(); | |
//After many trials the ListOfAlgorithms should contain some good algorithms | |
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