%0 Journal Article
	%A Nickolay Jelev and  Andy Keane and  Carren Holden and  András Sóbester
	%D 2017
	%J International Journal of Aerospace and Mechanical Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 125, 2017
	%T Rule Based Architecture for Collaborative Multidisciplinary Aircraft Design Optimisation
	%U https://publications.waset.org/pdf/10007081
	%V 125
	%X In aircraft design, the jump from the conceptual to
preliminary design stage introduces a level of complexity which
cannot be realistically handled by a single optimiser, be that a
human (chief engineer) or an algorithm. The design process is often
partitioned along disciplinary lines, with each discipline given a level
of autonomy. This introduces a number of challenges including, but
not limited to: coupling of design variables; coordinating disciplinary
teams; handling of large amounts of analysis data; reaching an
acceptable design within time constraints. A number of classical
Multidisciplinary Design Optimisation (MDO) architectures exist in
academia specifically designed to address these challenges. Their
limited use in the industrial aircraft design process has inspired
the authors of this paper to develop an alternative strategy based
on well established ideas from Decision Support Systems. The
proposed rule based architecture sacrifices possibly elusive guarantees
of convergence for an attractive return in simplicity. The method
is demonstrated on analytical and aircraft design test cases and its
performance is compared to a number of classical distributed MDO
architectures.
	%P 1021 - 1030