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