Abstract
Getting adequate information for determining a final design solution is not an easy task especially if there arc 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 arc 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 cjuasi-optimum solutions guides the shape parameters those corresponds to worse or better design clearly. Thus it is confirmed that the information gleaned from the proposed methods can support engineering decision-making on the design of heat pipes effectively.
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