Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left"> </td><td class="align_center">TOLMIN</td><td class="align_center">NEWUOA</td><td class="align_center">BOBYQA</td><td class="align_center">LINCOA</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Hot and cold cases combined (°C)</td><td class="align_center">—</td><td class="align_center">0.400</td><td class="align_center">1.965</td><td class="align_center">0.885</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Error values achieved with Powell’s algorithms for transient cases (°C).

International Journal of Aerospace Engineering

tab5

Table 5

Table 5: Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts 