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.
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 language | English |
|---|---|
| DOIs | |
| Publication status | Published - 2008 |
| Event | ASME 2008 International Design Engineering Technical Conference, Computers and Information in Engineering Conference (IDETC 2008) - Brooklyn, New York, USA United States Duration: 3 Aug 2008 → 6 Aug 2008 |
Conference
| Conference | ASME 2008 International Design Engineering Technical Conference, Computers and Information in Engineering Conference (IDETC 2008) |
|---|---|
| Country/Territory | USA United States |
| City | Brooklyn, New York |
| Period | 3/08/08 → 6/08/08 |
Keywords
- Computational Design Synthesis