In genetic algorithms, convergence refers to the process where the algorithm starts consistently producing similar solutions over time, ideally reaching the best possible solution to the problem. How genetic operators—selection, crossover, and mutation—are used can significantly affect how quickly and effectively the algorithm converges on a good solution. https://generativeaimasters.in