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

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Case</td><td class="align_center">Steady-state <br/>hot case</td><td class="align_center">Steady-state <br/>cold case</td><td class="align_center">Transient <br/>hot case</td><td class="align_center">Transient<br/>cold case</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Error (°C)</td><td class="align_center">8.074</td><td class="align_center">9.308</td><td class="align_center">7.928</td><td class="align_center">5.778</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Temperature errors of the base models (°C).

International Journal of Aerospace Engineering

tab2

Table 2

Table 2: Performance of Gradient-Based Solutions versus Genetic Algorithms in the Correlation of Thermal Mathematical Models of Spacecrafts 