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Evolution and Optimum Seeking

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

Table 6.4 (continued)<br />

HOJE{Direct search ofHooke <strong>and</strong> Jeeves<br />

Number of variables Number of cycles Number of objec- Computation time<br />

tive function calls in seconds<br />

3 11 65 0.04<br />

6 30 353 0.34<br />

10 26 502 0.62<br />

20 78 3035 5.70<br />

30 111 6443 16.3<br />

60 212 24801 119<br />

100 367 71345 547<br />

200 727 284060 4270<br />

300 1117 656113 14800<br />

DSCG{Davies-Swann-Campey method with Gram-Schmidt orthogonalization<br />

Number of Number of Number of line Number of objec- Computation time<br />

variables orthog. searches tive function calls in seconds<br />

3 3 16 87 0.22<br />

6 7 55 195 0.87<br />

10 8 101 323 2.70<br />

20 16 361 1209 29.2<br />

30 21 691 2181 110<br />

40 42 1802 5883 484<br />

50 27 1451 4453 582<br />

60 44 2822 9308 1540<br />

(max) 75 87 6676 20365 5790<br />

DSCP{Davies-Swann-Campey method with Palmer orthogonalization<br />

Number of Number of Number of line Number of objec- Computation time<br />

variables orthog. searches tive function calls in seconds<br />

3 3 16 84 0.22<br />

6 7 55 194 0.78<br />

10 8 101 324 1.54<br />

20 16 361 1208 10.3<br />

30 28 901 2809 33.8<br />

50 28 1501 4610 89.7<br />

75 79 6076 18591 547<br />

(max) 95 100 9691 29415 1090

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