Stationary Multivariate Probabilities Estimation for Intelligent MCMC Algorithms

Authors

  • Usama Hanafy Abou El-Enien The High Institute for Tourism, Hotels & Computer

Keywords:

Evolutionary Algorithms, Evolutionary-Like Algorithms, Regular Markov Chains, Multivariate Distribution

Abstract

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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Author Biography

Usama Hanafy Abou El-Enien, The High Institute for Tourism, Hotels & Computer

Department the High Institute for Tourism, Hotels & Computer El-Seyouf, Alexandria, Egypt

References

Abou El-Enien, U. (2016). Why unified statistics theory by MCMC towards estimation of stationary joint probabilities of stochastic matrix?. International Journal of Engineering Research and Management, 3(3), 100-102. https://www.ijerm.com/vol/Volume-03-Issue-03

Abou El-Enien, U. (2017). Why unified statistics theory by MCMC towards estimation of stationary triple probabilities of any Makov Chains?. American Journal of Engineering Research, 6(6), 188-191. http://www.ajer.org/papers/v6(06)/Y0606188191.pdf

El-Nady, Kh. , Abou El-Enien, U. , & Badr, A. (2011). Why are clonal selection algorithms MCMC?. International Journal of Open Problems in Computer Science and Mathematics, 4(3), 37-55. http://www.i-csrs.org/Volumes/ijopcm/vol.4/vol.4.3.4.S.11.pdf

El-Nady, Kh. , Abou El-Enien, U. , & Badr, A. (2011). Why are genetic algorithms MCMC2 Markov Chain Monte Carlo. AMSE Journals, Advances in Modelling and Analysis B, 54(1), 1-16. http://amsemodelling.com/publications/advances_in_modelling/Advances_in_ModellingB.pdf

Published

2020-04-30

How to Cite

Usama Hanafy Abou El-Enien. (2020). Stationary Multivariate Probabilities Estimation for Intelligent MCMC Algorithms. Computer Reviews Journal, 6, 28-30. Retrieved from http://purkh.com/index.php/tocomp/article/view/678

Issue

Section

Research Articles