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Minsker, Barbara S. Reed, Patrick Michael 2015-09-25T21:03:24Z 2015-09-25T21:03:24Z 10000-01-01 2002 2002 The LTM design methodology developed in this research addresses the two most important problems LTM practitioners face in the design process: (1) selecting monitoring objectives and (2) balancing these objectives. This thesis demonstrates that combining higher order Pareto optimization (i.e., optimizing a system for more than 2 objectives) with visualization can allow designers in any field to assess the mathematical models used to represent their objectives, discover how their objectives are affecting designs, and negotiate a final design that balances their conflicting design preferences. Made available in DSpace on 2015-09-25T21:03:24Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3044206.pdf: 9406517 bytes, checksum: 69b8abb1983a9ec71d397b8e452a0ea6 (MD5) Previous issue date: 2002 Embargo set by: Seth Robbins for item 84465 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 213 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002. http://hdl.handle.net/2142/83184 (MiAaPQ)AAI3044206 eng Engineering, System Science Striking the Balance: Long-Term Groundwater Monitoring Design for Multiple Conflicting Objectives text Civl and Environmental Engineering Civl and Environmental Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.