Advantages and Disadvantages of the Genetic Algorithm

Advantages of the genetic algorithm

• Global search capability: Traditional hyperparameter optimization methods, such as grid search and random search, are often susceptible to getting stuck in local optima. This is because they typically explore the hyperparameter space in a sequential manner, starting from a single point. A genetic algorithm, on the other hand, is a population-based algorithm that maintains a set of candidate solutions at all times. This allows it to explore multiple parts of the hyperparameter space simultaneously and to escape local optima more easily.