In this section, we assess the applicability and effectiveness of PWAS for practical experimental planning problems through three case studies: i) reaction optimization of Suzuki-Miyaura crosscoupling (fully categorical), ii) crossed-barrel design (mixedinteger), and iii) optimal solvent design for Menshutkin reaction (mixed integer and categorical with linear constraints). The case studies are chosen to exhibit a range of complexities, varying in problem size, numerical difficulty, types of variables, and the presence/absence of design constraints. To demonstrate the relative performance of PWAS, optimization results are compared with those from commonly used methods, specifically the ones discussed in Section 3.