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.