English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The optimal layout of a complex system such as aerospace vehicles consists inplacing a given number of components in a container in order to minimize one orseveral objectives under some geometrical or functional constraints. This paperpresents an extended formulation of this problem as a variable-size designspace (VSDS) problem to take into account a large number of architecturalchoices and components allocation during the design process. As arepresentative example of such systems, considering the layout of a satellitemodule, the VSDS aspect translates the fact that the optimizer has to choosebetween several subdivisions of the components. For instance, one large tank offuel might be placed as well as two smaller tanks or three even smaller tanksfor the same amount of fuel. In order to tackle this NP-hard problem, a geneticalgorithm enhanced by an adapted hidden-variables mechanism is proposed. Thislatter is illustrated on a toy case and an aerospace application caserepresentative to real world complexity to illustrate the performance of theproposed algorithms. The results obtained using the proposed mechanism arereported and analyzed.

Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles