Quality quandaries: Understanding aspects influencing different types of multiple response optimization
被引:3
作者:
Anderson-Cook, Christine M.
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机构:
Los Alamos Natl Lab, Stat Sci Grp, POB 1663,MS F660, Los Alamos, NM 87545 USALos Alamos Natl Lab, Stat Sci Grp, POB 1663,MS F660, Los Alamos, NM 87545 USA
Anderson-Cook, Christine M.
[1
]
Cao, Yongtao
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机构:
Indiana Univ Penn, Indiana, PA USALos Alamos Natl Lab, Stat Sci Grp, POB 1663,MS F660, Los Alamos, NM 87545 USA
Cao, Yongtao
[2
]
Lu, Lu
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机构:
Univ S Florida, Tampa, FL USALos Alamos Natl Lab, Stat Sci Grp, POB 1663,MS F660, Los Alamos, NM 87545 USA
Lu, Lu
[3
]
机构:
[1] Los Alamos Natl Lab, Stat Sci Grp, POB 1663,MS F660, Los Alamos, NM 87545 USA
KEY POINTSOptimizing with several responses can benefit from an objective approach of eliminating non-contenders, understanding trade-offs between competing responses, and then identifying a final choice that matches optimization priorities. To offer insights that can help guide thoughtful decisions, we explore and summarize different patterns of solution sets and their trade-offs for different types of optimization with responses that are to be maximized and/or to achieve a target.
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页码:329 / 341
页数:13
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