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공공누리This item is licensed Korea Open Government License

Title
Multidimensional visualization and clustering for multiobjective optimization of artificial satellite heat pipe design
Author(s)
정민중
Publication Year
2007-12-01
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 mulitobjective 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 satisify dual conditions such as thermal robustness and overall limitation of the total weight of the system.
Keyword
Multiobjective Optimization; Clustering; Visualization; Heat Pipe
Journal Title
Journal of Mechanical Science and Technology
Citation Volume
21
ISSN
1738-494X
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/13652
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=JAKO200706414092111
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