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공공누리This item is licensed Korea Open Government License

dc.contributor.author
정민중
dc.date.accessioned
2019-08-28T07:40:33Z
dc.date.available
2019-08-28T07:40:33Z
dc.date.issued
2007-12-01
dc.identifier.issn
1738-494X
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/13652
dc.identifier.uri
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=JAKO200706414092111
dc.description.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.
dc.language
eng
dc.relation.ispartofseries
Journal of Mechanical Science and Technology
dc.title
Multidimensional visualization and clustering for multiobjective optimization of artificial satellite heat pipe design
dc.citation.number
12
dc.citation.startPage
1964
dc.citation.volume
21
dc.subject.keyword
Multiobjective Optimization
dc.subject.keyword
Clustering
dc.subject.keyword
Visualization
dc.subject.keyword
Heat Pipe
Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
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