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Evolution and Optimum Seeking

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184 Comparison of Direct Search Strategies for Parameter Optimization<br />

Table 6.3 (continued)<br />

DFPS{Stewart's modi cation of the Davidon-Fletcher-Powell method<br />

Number of variables Number of iterations Number of objective Computation time<br />

function calls in seconds<br />

3 1 10 0.02<br />

6 1 16 0.04<br />

10 1 24 0.06<br />

20 1 44 0.16<br />

30 1 64 0.32<br />

60 1 124 1.14<br />

100 1 204 3.19<br />

135 1 274 5.42<br />

(max) 180 1 364 9.56<br />

1 iteration = 1 gradient evaluation <strong>and</strong> 1 line search<br />

SIMP{Simplex method of Nelder <strong>and</strong> Mead (with restart)<br />

Numberofvariables Number of restarts Number of objective Computation time<br />

function calls in seconds<br />

3 0 28 0.09<br />

6 0 104 0.64<br />

10 0 138 1.49<br />

20 0 301 8.24<br />

30 0 664 37.4<br />

60 0 1482 277<br />

100 0 1789 862<br />

(max) 135 1 5142 5270<br />

ROSE{Rosenbrock's method with Gram-Schmidt orthogonalization<br />

Number of variables Number of orthog. Number of objective Computation time<br />

function calls in seconds<br />

3 1 27 0.08<br />

6 2 60 0.32<br />

10 2 120 0.91<br />

20 1 181 2.56<br />

30 0 121 1.18<br />

40 1 281 13.7<br />

50 2 550 48.4<br />

60 2 600 78.3<br />

(max) 75 2 899 145

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