### Table 1. Default parameters for the (1+ )-CMA Evolution Strategy.

2005

"... In PAGE 6: ... Strategy Parameters The (external) strategy parameters are o spring number , target success probability ptarget succ , step size damping d, success rate averaging parameter cp, cu- mulation time horizon parameter cc, and covariance matrix learning rate ccov. Default values are given in Table1 . Most default values are derived from the precursor algorithms and validated by sketchy simulations on simple test functions: the target success rate is close to the well-known 1=5 and depends on , because the optimal success rate in the (1+ )-ES certainly decreases with increasing .... In PAGE 6: ... The parameters for the covariance matrix adaptation are similar to those for the (1, )-CMA-ES. Initialization The elements of the initial individual, a(0) parent are set to psucc = ptarget succ , pc = 0, and C = I, where ptarget succ is given in Table1... ..."

### Table 2: Random Covariance Matrix Results, = 0:005 m

1992

"... In PAGE 6: ... Since accurate values for F were not known, the values used were obtained using the subregion adaptive software with requested absolute accuracy = 0:00025. In Table2 the results for these tests are reported. Table 2: Random Covariance Matrix Results, = 0:005 m... ..."

Cited by 38

### Table 5. Covariance Matrix of

1999

Cited by 1

### Table 10: Covariance Matrix of the Nonlinear model for Intel Panel A: Unrestricted Covariance Matrix 0.082 0.039 0.041 0.039 0.043 0.037 0.035 0.032 0.04 0.039

2003

### Table 10: Covariance Matrix of the Nonlinear model for Amgen Panel A: Unrestricted Covariance Matrix 1.224 0.072 0.073 0.073 0.036 0.036 0.037 0.036 0.053 0.052

2005

### Table 4 Transformations and evolution strategies.

1998

"... In PAGE 65: ... Change underlying business process so that data entry or report handling performed by a different department within a company. Table4 summarises the dependencies between needed transformations... ..."