In this paper, the design of geometrical shapes
of function carriers and their layout in given space is
called configuration design. The constraint satisfaction
problem in configuration design may be difficult to solve
due to the lack of tight constraints and the countless
combinations of the layout; a diversity of solutions that
satisfy the constraints should be allowed. Therefore, to
allow such diversity, we directed our attention to developmental
processes in biology and proposed an adaptive-growth-type
3D representation based on evolutionary algorithms. Here,
the adaptive-growth-type means the shape expressed in the
process, which develops through interaction with an outside
environment, like shape generation of a living organism
in the natural world. The usefulness of the representation
was verified by applying it to the component layout problem
in the early stage of satellite design.