자료유형 | E-Book |
---|---|
개인저자 | Hitomi, Nozomi. |
단체저자명 | Cornell University. Mechanical Engineering. |
서명/저자사항 | Multiobjective Optimization for Space Systems Architecture: Applying and Extracting Knowledge. |
발행사항 | [S.l.] : Cornell University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 216 p. |
소장본 주기 | School code: 0058. |
ISBN | 9780438026179 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Daniel Selva. |
이용제한사항 | This item is not available from ProQuest Dissertations & Theses. |
요약 | Distributed 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, |
요약 | This 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 |
요약 | This 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 |
요약 | The 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 |
일반주제명 | Mechanical engineering. Aerospace engineering. Engineering. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997830 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00027182 | 621 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |