An Evo-Devo Framework for Computational Design Synthesis Based on a Regulation Process

Sen Yang, M.M. Tseng, Dirk Schaefer, Mervyn Fathianathan

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Evolutionary design synthesis has been used in solving many
engineering design problems due to the reliability, robustness
and domain-independence of evolutionary algorithms . However,
little has been done to explore the role of design knowledge in
evolutionary design synthesis. In this paper, inspired by recent
advances in evolutionary developmental biology (Evo-Devo),
we propose an Evo-Devo framework for computational design
synthesis that utilizes design knowledge to guide an
evolutionary search processes. The framework embodies a new
regulation process to derive feasible phenotypes from the
synthesis of genotypes and design knowledge. A multi-agent
system (MAS) is implemented to perform the regulation needed
to enforce the constraint satisfaction of phenotypes. The
practical applicability of the Evo-Devo framework is validated
through a meal design problem to be solved as a case study.
The results indicate that the Evo-Devo framework and its
regulation process outperform traditional processes in terms of
effectiveness, efficiency and reliability in searching a
constrained design space. The proposed framework and the
MAS-based implementation of the regulation process can be
applied to improve the performance of evolutionary design
synthesis in different domains and tasks in general.
Original languageEnglish
DOIs
Publication statusPublished - 2008
EventASME 2008 International Design Engineering Technical Conference, Computers and Information in Engineering Conference (IDETC 2008) - Brooklyn, New York, USA United States
Duration: 3 Aug 20086 Aug 2008

Conference

ConferenceASME 2008 International Design Engineering Technical Conference, Computers and Information in Engineering Conference (IDETC 2008)
CountryUSA United States
CityBrooklyn, New York
Period3/08/086/08/08

Keywords

  • Computational Design Synthesis

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