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Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge

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개인저자Hitomi, Nozomi.
단체저자명Cornell University. Mechanical Engineering.
서명/저자사항Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge.
발행사항[S.l.] : Cornell University., 2018
발행사항Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항216 p.
소장본 주기School code: 0058.
ISBN9780438026179
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Daniel Selva.
이용제한사항This item is not available from ProQuest Dissertations & Theses.
요약Distributed spacecraft missions (DSM) are gaining traction in the space community for the potential to deploy multiple simple and low-cost spacecraft to provide high temporal resolution of observations over regions of interest. Designing a DSM,
요약This thesis proposes a new tradespace exploration tool that combines the efficiency of expert design heuristics with the explorative power of an MOEA. The tool exploits the available expert knowledge to push the exploration to the most promising
요약This thesis also develops an MOEA that can extract new knowledge by applying a data mining algorithm to candidate solutions generated during an optimization run. This tool is useful when there are few or no design heuristics available for a give
요약The efficacy of the proposed tradespace exploration tools are demonstrated on a DSM design problem for climate monitoring. The results shows that combining an MOEA with knowledge from experts or data mining algorithms leads to significant improv
일반주제명Mechanical engineering.
Aerospace engineering.
Engineering.
언어영어
기본자료 저록Dissertation Abstracts International79-10B(E).
Dissertation Abstract International
대출바로가기http://www.riss.kr/pdu/ddodLink.do?id=T14997830

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