Visualization and Clustering Based Interpretation for Multi-objective Optimization of Heat Pipes of Artificial Satellite
Min Joong Jeong, Shinobu Yoshimura, Takashi Kobayashi, Takehide Nomura · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 2005
Getting adequate information for determining a final design solution is not an easy task especially if there are many optimum and quasi-optimum solutions in a multi-dimensional space. To overcome the difficulty, a synchronous three dimensional visualization is proposed. Through the interactive operation of the present visualization system, engineers can explore and understand the correlation among multi-dimensional function and parameter spaces and the real world space. Moreover to find distinct features of the solutions, an enhanced clustering algorithm is applied to the optimum and quasi-optimum solutions. As a practical engineering application, the proposed approaches are applied to a multi-objective optimization of heat pipe design of artificial satellite. The synchronous visualization helps an engineer to understand the design effect of each solution out of the Pareto and quasi-Pareto solutions. The clustering of the optimum and quasi-optimum solutions guides the shape parameters whether to correspond to worse or better design clearly. It is confirmed that the information gleaned from the proposed methods can support engineering decision-making on the design of heat pipes effectively.