Interactive design selection process through visualization and user guided search

Kim Hongman, Scott Ragon, Gary Stump, Mike A. Yukish

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

A new process is described that assists engineers in making complex decisions during the design process. The Interactive Design Selection Process (iDSP) allows designers to collect design information, compare candidate designs, build user preferences, and ultimately zero in on the best designs. In contrast to traditional black-box optimization approaches, the iDSP involves the designer in each and every step of the process. This involvement gives designers more confidence in the results and allows them to find designs that satisfy all stake-holders. A prototype of the iDSP was implemented by combining an advanced visualization tool with a genetic optimizer using a commercially available process integration environment. A Lunar exploration mission design problem was solved using the guided search technique augmented by design space visualization.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Pages618-629
Number of pages12
StatePublished - Dec 1 2006
Event11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Portsmouth, VA, United States
Duration: Sep 6 2006Sep 8 2006

Publication series

NameCollection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Volume1

Other

Other11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityPortsmouth, VA
Period9/6/069/8/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Hongman, K., Ragon, S., Stump, G., & Yukish, M. A. (2006). Interactive design selection process through visualization and user guided search. In Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (pp. 618-629). (Collection of Technical Papers - 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference; Vol. 1).