  In this chapter, we investigate recently proposed nonlinear conjugate
gradient (NCG) methods for shape optimization problems. We briefly introduce
the methods as well as the corresponding theoretical background and investigate
their performance numerically. The obtained results confirm that the NCG
methods are efficient and attractive solution algorithms for shape optimization
problems.
