Metaheuristic algorithms like GA and simulated annealing are almost identical to Bayesian methods/MCMC. Metaheuristic algorithms are Bayesian methods if you can pretend that your objective function is proportional to a probability distribution that you want to maximize. They just take unique approaches to exploring the posterior distribution. But conceptually they’re identical