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Multidimensional visualization and clustering for multiobjective optimization of artificial satellite heat pipe design

  • Materials and Design Engineering
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Abstract

This study presents a newly developed approach for visualization of Pareto and quasi-Pareto solutions of a multiobjective design problem for the heat piping system in an artificial satellite. Given conflicting objective functions, multiobjective optimization requires both a search algorithm to find optimal solutions and a decision-making process for finalizing a design solution. This type of multiobjective optimization problem may easily induce equally optimized multple solutions such as Pareto solutions, quasi-Pareto solutions, and feasible solutions. Here, a multidimensional visualization and clustering technique is used for visualization of Pareto solutions. The proposed approach can support engineering decisions in the design of the heat piping system in artificial satellites. Design considerations for heat piping system need to simultaneously satisfy dual conditions such as thermal robustness and overall limitation of the total weight of the system. The proposed visualization and clustering technique can be a valuable design tool for the heat piping system, in which reliable decision-making has been frequently hindered by the conflicting nature of objective functions in conventional approaches.

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Authors and Affiliations

  1. Science Applications Research Team, Korea Institute of Science and Technology Information, Daejeon, Republic of Korea

    Min-Joong Jeong

  2. Design Systems Engineering Center, Mitsubishi Electric Corportion, Japan

    Takashi Kobayashi

  3. Institute of Environmental Studies, The University of Tokyo, Japan

    Shinobu Yoshimura

Authors
  1. Min-Joong Jeong
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  2. Takashi Kobayashi
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  3. Shinobu Yoshimura
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Corresponding author

Correspondence to Min-Joong Jeong.

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Jeong, MJ., Kobayashi, T. & Yoshimura, S. Multidimensional visualization and clustering for multiobjective optimization of artificial satellite heat pipe design. J Mech Sci Technol 21, 1964–1972 (2007). https://doi.org/10.1007/BF03177454

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  • DOI: https://doi.org/10.1007/BF03177454

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