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Advancing Robust Optimization for Process Systems Engineering Applications
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Advancing Robust Optimization for Process Systems Engineering Applications. |
| 개인저자 | Matthews, Logan Ryan. |
| 단체저자명 | Princeton University. Chemical and Biological Engineering. |
| 발행사항 | [S.l.]: Princeton University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 321 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438048003 |
| 학위논문주기 | Thesis (Ph.D.)--Princeton University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Ioannis G. Kevrekidis. |
| 요약 | Robust optimization is a popular method for incorporating parameter uncertainty into optimization models. Whether parameters represent the price of a feedstock or product, the operability of an edge in a network, or length of time required for a |
| 요약 | This dissertation seeks to expand the theory and application of robust optimization for problems in process systems engineering. Theoretically, this focuses on decreasing the conservatism and increasing the applicability of robust optimization m |
| 요약 | Robust optimization is also shown to be effective in two major application areas. First, it is applied to process synthesis and global optimization of liquid transportation fuel refineries from natural gas and biomass, when feedstock prices, pro |
| 일반주제명 | Chemical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
