A rapid algorithm for multi-objective pareto optimization of modular architecture

Roozbeh Sanaei, Kevin Otto, Kristin Wood, Katja Hölttä-Otto

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

3 Citations (Scopus)


Assigning components and functions to modules early can facilitate faster and higher quality results in the latter stages of development and manufacturing. Methods have been developed to suggest suitable architectures using a variety of metrics that measure the ideality of the modularity. However, different modularity criteria considered are often in conflict with each other and improving one is not achievable without a compromising effect on another. To investigate this, we explore using multiple metrics such as defined in the modular function deployment and consider modularization as a multi-objective optimization problem. We develop here a new multi-objective search algorithm that is able to quickly find non-dominated Pareto-optimal architectures. The algorithm is demonstrated for a cordless vacuum cleaner. We further compare the performance of the algorithm with previous work using the IGTA+ algorithm for multiple-objective clustering. The results show the new algorithm improved the computation time of generating the Pareto-optimal surface by more than two orders of magnitude, reducing the 54 component vacuum cleaner modularization search from 192 hours to 24 minutes.

Original languageEnglish
Title of host publicationProceedings of the 21st International Conference on Engineering Design, ICED 17
Number of pages10
ISBN (Electronic)978-1-904670-92-6
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Engineering Design - Vancouver, Canada
Duration: 21 Aug 201725 Aug 2017
Conference number: 21


ConferenceInternational Conference on Engineering Design
Abbreviated titleICED


  • Computational design methods
  • Optimisation
  • Product architecture


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