Moreover, genetic algorithms offer advantages by allowing the direct incorporation of 50 higher-level chemical knowledge and reasoning strategies, making the search process more efficient. Boone et al. have used supervised machine learning and a genetic algorithm to design potent antimicrobial peptides. Huang et al. have coupled a genetic algorithm with the random forest algorithm to select the most suitable molecular descriptors for CAMD.