Inverse molecular design allows the optimization of molecules
in
chemical space and is promising for accelerating the development of
functional molecules and materials. To design realistic molecules,
it is necessary to consider geometric stability during optimization.
In this work, we introduce an inverse design method that optimizes
molecular properties by changing the chemical composition in the equilibrium
geometry. The optimization algorithm of our recently developed molecular
design method has been modified to allow molecular design for general
properties at a low computational cost. The proposed method is based
on quantum alchemy and does not require empirical data. We demonstrate
the applicability and limitations of the present method in the optimization
of the electric dipole moment and atomization energy in small chemical
spaces for (BF, CO), (N2, CO), BN-doped benzene derivatives,
and BN-doped butane derivatives. It was found that the optimality
criteria scheme adopted for updating the molecular species yields
faster convergence of the optimization and requires a less computational
cost. Moreover, we also investigate and discuss the applicability
of quantum alchemy to the electric dipole moment.