Learn about some examples of algorithms that use probability methods, such as Monte Carlo methods, naive Bayes classifier, Markov chain, k-means clustering, and randomized algorithms.

ABSTRACT. Introduction: The genetic algorithm is one of the essential theoretical mathematical models for simulating biological development.It is widely used in many fields such as engineering, ...

The choice of mutation rate is a vital factor in the success of any genetic algorithm (GA), and for permutation representations this is compounded by the availability of several alternative mutation ...