Stationary Multivariate Probabilities Estimation for Intelligent MCMC Algorithms


Dr. Usama Hanafy Abou El-Enien

The purpose of this paper is to get theoretical and empirical results for stationary multivariate probabilities estimation of any clonal selection or genetic algorithm by new presented proposed algorithm. The estimation proposed formula is true for any regular Markov Chain to get the desirable multivariate distribution.


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