In computer science and operations research, a genetic algorithm (GA)
is a metaheuristic inspired by the process of natural selection that belongs
to the larger class of evolutionary algorithms (EA). Genetic algorithms are
commonly used to generate high-quality solutions to optimization and search
problems via biologically inspired operators such as selection, crossover, and
mutation. Some examples of GA applications include optimizing decision trees
for better performance, solving sudoku puzzles, hyperparameter optimization,
and causal inference.
…