“…Hence the solver gets trapped in local minima or diverges. Regarding inverse shape optimization problems, remedies to address the ill-possing include mapping the physical domain onto a fixed computational domain [16,17,18,19,20,21] and redistribution of ill-ordered nodal points [12,13,14,15], Tikhonov regularization [22], homogenization [23], or transforming the problem into a parameter estimation by expanding the shape in terms of a small number of parameters, e.g. adaptive mesh [24], eigenfunction expansion [10], and mesh-morphing [25].…”