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