Genetic Algorithm GA Solved Example Maximizing Value of Function in Machine Learning Mahesh Huddar

A genetic algorithm is applied to maximize the function f(x) = x² within the range of 0 to 31. The process includes encoding solutions, selecting an initial population, calculating fitness scores, and performing crossover and mutation. The maximum value achieved after iterations is 841, demonstrating the algorithm's effectiveness in optimization.