To increase the real-life relevance of the benchmarks used here, we run each algorithm 20 times for 150 generations per benchmark. We also reject molecules that either trigger the structural alerts from GSK , or those that contain ring allenes, macrocycles, an abundance of hologenicity (#F > 6, #Br > 3, #Cl > 3), rotatable bonds (>10) or hydrogen acceptors/donors (>10). In addition, the initial populations used in this paper consist of a hundred molecules randomly sampled from the Guacamol 13 subset of ChEMBL . All these molecules are neutral, do not contain salts and have Tanimoto similarities below 0.323 to any of ten FDA approved drugs (Celecoxib, Aripiprazole, Cobimetinib, Osimertinib, Troglitazone, Ranolazine, Thiothixene, Albuterol, Fex-ofenadine, Mestranol). In contrast, other datasets like ZINC or QM9 contain virtual molecules that are likely to be synthesizable but have not yet been seen in the lab. In addition these datasets are often biased and contain predominantly smaller molecules.