Estimation of First Passage Time Probabilities at Second Transition respecting Evolutionary MCMC Algorithms

Authors

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

Keywords:

Evolutionary Algorithms, First Passage Time, Regular Markov Chain, Conditional Bivariate Distribution

Abstract

With regard to genetic algorithms with bit mutation, the target is to offer novel algorithm to obtain experiential and theoretic results for first passage time probabilities estimation at second transition. The estimating proposed formula is true with regard to any regular Markov Chain.   

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Author Biography

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

Hotels & Computer, El-Seyouf, Alexandria

References

Abou El-Enien, U. (2015). Why unified statistics theory by MCMC towards estimation of stationary transition probabilities of stochastic matrix?. Journal of Computer and Mathematical Sciences, 6(7), 411-415. http://www.compmath-journal.org/dnload/Usama-H-Abou-El-Enien/CMJV06I07P0411.pdf

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. (2019). Why estimation algorithm of first passage time transition probabilities concerns genetic algorithms without bit mutation?. Computer Reviews Journal, 4(1), 146-148.

https://purkh.com/index.php/tocomp/article/view/507/385

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). Estimation of First Passage Time Probabilities at Second Transition respecting Evolutionary MCMC Algorithms. Computer Reviews Journal, 6, 31-33. Retrieved from https://purkh.com/index.php/tocomp/article/view/679

Issue

Section

Research Articles