Many-objective visual analytics: In search of search-as-a-service

Matthew Woodruff, Timothy William Simpson, David Hadka, Patrick Reed

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

1 Scopus citations


Newly available computational power and sophisticated visualization tools make it possible to use optimization in more sophisticated ways. In particular, optimizing a variety of problem formulations permits the exploration of competing hypotheses about how the design problem is framed, engaging in a process of constructive learning that develops problem insight and leads to the discovery of new design alternatives. This enables a many objective visual analytics (MOVA) process but requires a multi-objective evolutionary algorithm (MOEA) that works without significant user intervention. This creates a nead for search-as-a-service for which many MOEAs are not well suited. To determine MOEAs' suitability for use within the MOVA context, a comparative study is presented, in which five leading MOEAs are evaluated on their effectiveness, efficiency, reliability, and controllability on four different formulations of the same benchmark conceptual design problem. For researchers proposing new MOEAs, this study provides a baseline for MOEA effectiveness, efficiency, reliability and controllability across multiple problem formulations. For designers, the massive computational scale of this study yields results that point the way to reducing their own computational requirements, or equivalently making the most of a fixed computational budget. Based on our findings, the new Borg MOEA is established as a leading algorithm for search-as-a-service.

Original languageEnglish (US)
Title of host publicationAIAA AVIATION 2014 -15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781624102837
StatePublished - 2014
EventAIAA AVIATION 2014 -15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2014 - Atlanta, GA, United States
Duration: Jun 16 2014Jun 20 2014


OtherAIAA AVIATION 2014 -15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference 2014
Country/TerritoryUnited States
CityAtlanta, GA

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Mechanical Engineering


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