抄録
An artificial satellite design requires several design objectives such as performance, reliability, mass, robustness, and cost. To solve the conflicted requirements at the same time, multi-objective optimization is becoming more popular Using the optimization, it is usual to get many solutions, such as Pareto, quasi-Pareto, and feasible solutions. The alternative solutions, however, are very difficult to be adapted to practical engineering decision directly. Therefore, to make a decision, proper information about the solution in the parameter space and real design space should be provided. In this paper, a new approach for the interpretation of the solutions is proposed based on multidimensional visualization and clustering. As a practical engineering application, the proposed approach is applied to a thermal robustness and mass optimization problem of a heat pipe shape for an artificial satellite panel. The information gleaned from the propose approach can support the engineering decision for artificial satellite heat pipe design
