An example of a genetic algorithm. Commentary(korean)
python evolving_string.py "Richard Dawkins"
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Generation 1 min loss = 9.4169
Generation 1 master = QVTOQqS BerUgY`
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Generation 2 min loss = 4.4193
Generation 2 master = Obcchwj Edqkcms
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Generation 3 min loss = 2.2868
Generation 3 master = Ogai_q` Cdqkdms
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Generation 4 min loss = 1.1628
Generation 4 master = Oicg^qd C_vkfns
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Generation 5 min loss = 0.6227
Generation 5 master = Qichard D_vkhms
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Generation 6 min loss = 0.4574
Generation 6 master = Qichard Dbwkhns
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Generation 7 min loss = 0.4574
Generation 7 master = Qichard Dbwkjns
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Generation 8 min loss = 0.4574
Generation 8 master = Qichard Dbwkhns
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Generation 9 min loss = 0.4574
Generation 9 master = Qichard Dbwkhns
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Generation 10 min loss = 0.4103
Generation 10 master = Qichard D`wkhns
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Generation 11 min loss = 0.378
Generation 11 master = Qichard Dbwkins
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Generation 12 min loss = 0.3499
Generation 12 master = Qichard Dawkhns
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Generation 13 min loss = 0.2575
Generation 13 master = Richard Dbwkins
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Generation 14 min loss = 0.0
Generation 14 master = Richard Dawkins
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Generation 14 found the answer: Richard Dawkins