Problem exploration with many-objective visual analytics

Matthew Woodruff, Timothy W. Simpson

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

Abstract

This paper discusses problem exploration using Many-Objective Visual Analytics (MOVA). It describes an electric motor product family design problem, including previous attempts at optimized product family designs. The study undertaken in this study shows how MOVA can be used to progressively expose the structure of a problem and develop new design strategies in response. This study presents new designs for the electric motor product family that have superior commonality to any reported in the literature, with equivalent or superior performance for the individual motors.

Original languageEnglish (US)
Title of host publication42nd Design Automation Conference
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791850114
DOIs
StatePublished - Jan 1 2016
EventASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016 - Charlotte, United States
Duration: Aug 21 2016Aug 24 2016

Publication series

NameProceedings of the ASME Design Engineering Technical Conference
Volume2B-2016

Other

OtherASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2016
CountryUnited States
CityCharlotte
Period8/21/168/24/16

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Modeling and Simulation

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