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Marcel Kronfeld
2007-12-11 16:38:11 +00:00
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<html>
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<title>Model Assisted Evolution Strategy - MAES</title>
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<body>
<EFBFBD>
<h1 align="center">Model Assisted Evolution Strategy - MAES</h1>
<center>
</center><br>
In the pre-selection concept lambdaPlus>lambda
individuals are generated from mu parents.
All lambdaPlus individuals are evaluated by a
surrogate model of the fitness landscape and the estimated
fitness values are used to pre-select the lambda
best individuals, which will be evaluated with
the real fitness function.
The model is trained at the beginning with a randomly created
initial population and is updated after each generation
step with lambda new fitness cases.
The idea behind this approach is that only the
most promising individuals with a good fitness prediction
are evaluated with the true fitness function.
Every generation a new offspring lambda is evaluated with the real fitness function,
the model is updated with this information of \lambda fitness cases.
</body>
</html>