202 Beam-based Correction and Optimization for Accelerators
10
-4
10
-2
10
0
f
min
f 1 (x), =0.001, N=300
GD
NMSimplex
Powell
RSimplex
RCDS
GP
10
-4
10
-2
10
0
f
min
f 1 (x), =0.01, N=300
0
20
40
60
80
100
cases
10
-4
10
-2
10
0
f
min
f 1 (x), =0.1, N=300
Figure 7.12 Comparison of optimization performances for selected algorithms using
the function in Eq. (7.31). The noise levels are σ = 0.001, 0.01, and 0.1 from top to
bottom. The sorted final minima for 100 runs are shown for each algorithm.
10
-4
10
-2
10
0
f
min
f 1 (x), =0.001, N=300
GD
NMSimplex
Powell
RSimplex
RCDS
GP
10
-4
10
-2
10
0
f
min
f 1 (x), =0.01, N=300
0
20
40
60
80
100
cases
10
-4
10
-2
10
0
f
min
f 1 (x), =0.1, N=300
Figure 7.12 Comparison of optimization performances for selected algorithms using
the function in Eq. (7.31). The noise levels are σ = 0.001, 0.01, and 0.1 from top to
bottom. The sorted final minima for 100 runs are shown for each algorithm.