Fabian Becker
b1553f3088
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30 lines
1.2 KiB
HTML
30 lines
1.2 KiB
HTML
<html>
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<head>
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<title>Increasing Population Size ES - IPOP-ES</title>
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</head>
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<body>
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<h1 align="center">Increasing Population Size ES - IPOP-ES</h1>
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<center>
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</center><br>
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<p>
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This class implements the IPOP (increased population size) restart strategy ES, which increases
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the ES population size (i.e., lambda) after phases of stagnation and then restarts the optimization
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by reinitializing the individuals and operators.<br>
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Stagnation is for this implementation defined by a FitnessConvergenceTerminator instance
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which terminates if the absolute change in fitness is below a threshold (default 10e-12) for a
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certain number of generations (default: 10+floor(30*n/lambda) for problem dimension n).
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</p>
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<p>
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If the MutateESRankMuCMA mutation operator is employed, additional criteria are used for restarts,
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such as numeric conditions of the covariance matrix.
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Lambda is increased multiplicatively for every restart, and typical initial values are
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mu=5, lambda=10, incFact=2.
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The IPOP-CMA-ES won the CEC 2005 benchmark challenge.
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Refer to Auger&Hansen 05 for more details.
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</p>
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<br>
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A.Auger & N.Hansen. <i>A Restart CMA Evolution Strategy With Increasing Population Size</i>. CEC 2005.
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</body>
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</html> |