The newly generated molecules have the caveat that the majority of them is likely not easy to synthesize or that they are unstable for other reasons, which underlines the necessity of multi-objective optimizations with suitable synthesizability scores. In future works, we will test the capability to perform adaptive training built into our workflow, and incorporate advanced property predictions such as the prediction of electronic excitation energies and oscillator strengths for real-world design applications targeting photoactive molecules and molecular dyes. Our workflow will be generally applicable to any type of molecular proper-ties that can be predicted by quantum chemical electronic structure programs, such as molecular energies, electronic and magnetic properties, vibrational properties, and optical properties in general.