finish presentation slides
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- this is the _elitism survivor selection_
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- repeat
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== specific implementation
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- fitness function
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- used the sum mentioned earlier
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- used linear regression and rmse for feature selection
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== optimizations
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todo
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== results
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todo
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- let's look at the report
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== conclusion
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todo
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- it is hard to tune hyperparameters
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- it is hard to implement genetic algorithm operators correctly
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- it is hard to solve np-hard problems
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so, i've had great fun
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