Many objective visual analytics: Rethinking the design of complex engineered systems

Matthew J. Woodruff, Patrick M. Reed, Timothy W. Simpson

Research output: Contribution to journalArticle

75 Scopus citations

Abstract

Many cognitive and computational challenges accompany the design of complex engineered systems. This study proposes the many-objective visual analytics (MOVA) framework as a new approach to the design of complex engineered systems. MOVA emphasizes learning through problem reformulation, enabled by visual analytics and many-objective search. This study demonstrates insights gained by evolving the formulation of a General Aviation Aircraft (GAA) product family design problem. This problem's considerable complexity and difficulty, along with a history encompassing several formulations, make it well-suited to demonstrate the MOVA framework. The MOVA framework results compare a single objective, a two objective, and a ten objective formulation for optimizing the GAA product family. Highly interactive visual analytics are exploited to demonstrate how decision biases can arise for lower dimensional, highly aggregated problem formulations.

Original languageEnglish (US)
Pages (from-to)201-219
Number of pages19
JournalStructural and Multidisciplinary Optimization
Volume48
Issue number1
DOIs
StatePublished - Jul 1 2013

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Control and Optimization

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