How do Genetic Algorithms Contribute to Catalyst Design?
Genetic Algorithms (GAs) are inspired by the process of natural selection and are used to optimize complex catalytic systems. They work by generating a population of potential solutions and iteratively improving them through selection, crossover, and mutation. This approach is particularly useful for multi-objective optimization problems where multiple criteria, such as activity, selectivity, and stability, need to be optimized simultaneously.
