Dr. Abid Hussain

Lecturer
Department of Mathematics and Statistics, PMAS-Arid Agriculture University, Rawalpindi, Pakistan


Highest Degree
Ph.D. in Statistics from Quaid-i-Azam University, Pakistan

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Area of Interest:

Mathematics
Statistics
Probability
Economics and Econometrics
Operation Research

Selected Publications

  1. Hussain, A., S.A. Cheema and M. Hanif, 2022. An analysis of the classical gambler's ruin problem through multiple devices variation. J. Taibah Univ. Sci., 16: 47-56.
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  2. Hussain, A., S. Riaz, M.S. Amjad and Ehtasham UL Haq, 2022. Genetic algorithm with a new round-robin based tournament selection: Statistical properties analysis. PLoS ONE, Vol. 17. 10.1371/journal.pone.0274456.
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  3. Hussain, A., K. Ullah, S.A. Cheema, A.A. Khan and Z. Hussain, 2022. Empirical distribution function based dual use of auxiliary information for the improved estimation of finite population mean Concurrency Comput., Vol. 34. 10.1002/cpe.7346.
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  4. Hussain, A., 2022. A novel version for three-player gambler+s ruin problem. J. Stat. Comput. Simul., 92: 2863-2874.
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  5. Hussain, A., M. Hanif and M. Naseer, 2021. Three-player gambler's ruin problem: Some extensions. Sci. Inquiry Rev., 5: 1-11.
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  6. Hussain, A. and S.A. Cheema, 2021. The classic two-player gambler's ruin problem with successive events: A generalized variance. Comp. Math. Methods, Vol. 3. 10.1002/cmm4.1156.
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  7. Hussain, A. and Y.S. Muhammad, 2019. Trade-off between exploration and exploitation with genetic algorithm using a novel selection operator. Complex Intell. Syst. 10.1007/s40747-019-0102-7.
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  8. Hussain, A., Y.S. Muhammad and M.N. Sajid, 2018. An improved genetic algorithm crossover operator for traveling salesman problem. Turk. J. Math. Comput. Sci., 9: 1-13.
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  9. Hussain, A., Y.S. Muhammad and M.N. Sajid, 2018. An efficient genetic algorithm for numerical function optimization with two new crossover operators. Int. J. Math. Sci. Comput., 4: 41-55.

  10. Hussain, A., Y.S. Muhammad and M.N. Sajid, 2018. A simulated study of genetic algorithm with a new crossover operator using traveling salesman problem. Punjab Univ. J. Math., 51: 61-77.

  11. Hussain, A., Y.S. Muhammad and A. Nawaz, 2018. Optimization through genetic algorithm with a new and efficient crossover operator. Int. J. Adv. Math., 1: 1-14.
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  12. Hussain, A., Y.S. Muhammad, M.N. Sajid, I. Hussain, A.M. Shoukry and S. Gani, 2017. Genetic algorithm for traveling salesman problem with modified cycle crossover operator. Comput. Intell. Neurosci., Vol. 2017. 10.1155/2017/7430125.
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  13. Hussain, A., Y.S. Muhammad and M.N. Sajid, 2017. Performance evaluation of best- worst selection criteria for genetic algorithm. Math. Comput. Sci., 2: 89-97.