Dr. Ali Wagdy Mohamed El-Naggar

Associate Professor
Department of Operations Research, Faculty of graduate Studies for Statistical Research, Cairo University

Highest Degree
Ph.D. in Operations Research from Cairo University, Egypt

My URL
https://livedna.org/20.9622

Share this Profile

Biography

Dr. Ali Wagdy Mohamed El-Naggar is currently working as Assistant Professor at Department of Statistics and Operations Research-Faculty of Science-King Abdul-Aziz University-Jeddah-Kingdom of Saudi Arabia. He obtained his PhD in Operations Research from Cairo University, Egypt in 2010. His area of research interest related to Mathematical Programming (Deterministic and Stochastic Optimization) Simulation Optimization and Decision Support Systems, Artificial Intelligence for Global Optimization, Statistical Models, and Project Management and Project Economics. He received research grants from King Abdulaziz University. He also received Distinguished Scientific Research & Publication Quality Award from King Abdulaziz University, and Cairo University. He has published 6 articles in refereed journals, and 4 papers in refereed conferences. He is also working as Associate Editor in Aloy Journal of Soft Computing and Applications, and Editorial Board Member in Computer and Information Science (Canadian Center of Science and Education). He is also serving as reviewer of different journals and conferences. He supervised 1 MSc thesis.

Area of Interest:

Computer Sciences
Mathematical Programming
Decision Support Systems
Artificial Intelligence
Statistical Models

Selected Publications

  1. Xu, S., G. Xiong, A.W. Mohamed and H.R.E.H. Bouchekara, 2022. Forgetting velocity based improved comprehensive learning particle swarm optimization for non-convex economic dispatch problems with valve-point effects and multi-fuel options. Energy, Vol. 256. 10.1016/j.energy.2022.124511.
    CrossRef  |  Direct Link  |  

  2. Sharma, A.K., A.M. Alshamrani, K.A. Alnowibet, A.F. Alrasheedi, A. Saxena and A.W. Mohamed, 2022. A demand side management control strategy using RUNge kutta optimizer (RUN). Axioms, Vol. 11. 10.3390/axioms11100538.
    CrossRef  |  Direct Link  |  

  3. Saxena, A., A.F. Alrasheedi, K.A. Alnowibet, A.M. Alshamrani, S. Shekhawat and A.W. Mohamed, 2022. Local grey predictor based on cubic polynomial realization for market clearing price prediction. Axioms, Vol. 11. 10.3390/axioms11110627.
    CrossRef  |  Direct Link  |  

  4. Pradhan, A., S.K. Bisoy, S. Kautish, M.B. Jasser and A.W. Mohamed, 2022. Intelligent decision-making of load balancing using deep reinforcement learning and parallel PSO in cloud environment. IEEE Access, 10: 76939-76952.
    CrossRef  |  Direct Link  |  

  5. Mohapatra, P.K., S.K. Rout, S.K. Bisoy, S. Kautish, M. Hamzah, M.B. Jasser and A.W. Mohamed, 2022. Application of bat algorithm and its modified form trained with ANN in channel equalization. Symmetry, Vol. 14. 10.3390/sym14102078.
    CrossRef  |  Direct Link  |  

  6. Li, C., G. Xiong, X. Fu, A.W. Mohamed, X. Yuan, M.A. Al-Betar and P.N. Suganthan, 2022. Takagi-sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm. Knowl. Based Syst., Vol. 255. 10.1016/j.knosys.2022.109773.
    CrossRef  |  Direct Link  |  

  7. Emambocus, B.A.S., M.B. Jasser, A. Amphawan and A.W. Mohamed, 2022. An optimized discrete dragonfly algorithm tackling the low exploitation problem for solving TSP. Mathematics, Vol. 10. 10.3390/math10193647.
    CrossRef  |  Direct Link  |  

  8. Chen, Y., D. Pi, S. Yang, Y. Xu, J. Chen and A.W. Mohamed, 2022. HNIO: A hybrid nature-inspired optimization algorithm for energy minimization in UAV-assisted mobile edge computing. IEEE Trans. Netw. Serv. Manage., 19: 3264-3275.
    CrossRef  |  Direct Link  |  

  9. Alnowibet, K.A., S. Mahdi, A.M. Alshamrani, K.M. Sallam and A.W. Mohamed, 2022. A family of hybrid stochastic conjugate gradient algorithms for local and global minimization problems. Mathematics, Vol. 10. 10.3390/math10193595.
    CrossRef  |  Direct Link  |  

  10. Abdel-Basset, M., H. Hawash, K.A. Alnowibet, A.W. Mohamed and K.M. Sallam, 2022. Interpretable deep learning for discriminating pneumonia from lung ultrasounds. Mathematics, Vol. 10. 10.3390/math10214153.
    CrossRef  |  Direct Link  |  

  11. Wu, W., H. Ouyang, A.W. Mohamed, C. Zhang and S. Li, 2019. Enhanced harmony search algorithm with circular region perturbation for global optimization problems. Applied Intell., (In Press). 10.1007/s10489-019-01558-6.
    CrossRef  |  Direct Link  |  

  12. Mohamed, A.W., A.K. Mohamed, E.Z. Elfeky and M. Saleh, 2019. Enhanced directed differential evolution algorithm for solving constrained engineering optimization problems. Int. J. Applied Metaheuristic Comput., 10: 1-28.
    CrossRef  |  Direct Link  |  

  13. Mohamed, A.W., A.A. Hadi and K.M. Jambi, 2019. Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization. Swarm Evol. Comput., Vol. 50. 10.1016/j.swevo.2018.10.006.
    CrossRef  |  Direct Link  |  

  14. Mohamed, A.W. and A.K. Mohamed, 2019. Adaptive guided differential evolution algorithm with novel mutation for numerical optimization. Int. J. Mach. Learn. Cybern., 10: 253-277.
    CrossRef  |  Direct Link  |  

  15. Mohamed, A.K., A.W. Mohamed, E.Z. Elfeky and M. Saleh, 2019. Solving Constrained Non-Linear Integer and Mixed-Integer Global Optimization Problems using Enhanced Directed Differential Evolution Algorithm. In: Machine Learning Paradigms: Theory and Application, Hassanien, A.E. (Ed.). Springer, Cham, Switzerland, ISBN: 978-3-030-02357-7, pp: 327-349.

  16. Mohamed, A.K. and A.W. Mohamed, 2019. Real-Parameter Unconstrained Optimization Based on Enhanced AGDE Algorithm. In: Machine Learning Paradigms: Theory and Application, Hassanien, A.E. (Ed.). Springer, Cham, Switzerland, ISBN: 978-3-030-02357-7, pp: 431-450.

  17. Hadi, A.A., A.W. Mohamed and K.M. Jambi, 2019. LSHADE-SPA memetic framework for solving large-scale optimization problems. Complex Intell. Syst., 5: 25-40.
    CrossRef  |  Direct Link  |  

  18. Mohamed, A.W., 2018. Differential Evolution (DE): A short review. Robot. Autom. Eng. J., Vol. 2, No. 1. 10.19080/RAEJ.2018.02.555579.
    CrossRef  |  Direct Link  |  

  19. Mohamed, A.W., 2018. A novel differential evolution algorithm for solving constrained engineering optimization problems. J. Intell. Manuf., 29: 659-692.
    CrossRef  |  Direct Link  |  

  20. Mohamed, A.W. and P.N. Suganthan, 2018. Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation. Soft Comput., 22: 3215-3235.
    CrossRef  |  Direct Link  |  

  21. Mohamed, A.K. and A.W. Mohamed, 2018. Control parameters in Differential Evolution (DE): A short review. Robot. Autom. Eng. J., Vol. 3, No. 2. 10.19080/RAEJ.2018.03.555607.
    CrossRef  |  Direct Link  |  

  22. Mohamed, A.W., 2017. Solving stochastic programming problems using new approach to differential evolution algorithm. Egypt. Inform. J., 18: 75-86.
    CrossRef  |  Direct Link  |  

  23. Mohamed, A.W., 2017. Solving large-scale global optimization problems using enhanced adaptive differential evolution algorithm. Complex Intell. Syst., 3: 205-231.
    CrossRef  |  Direct Link  |  

  24. Mohamed, A.W., 2017. An efficient modified differential evolution algorithm for solving constrained non-linear integer and mixed-integer global optimization problems. Int. J. Mach. Learn. Cybern., 8: 989-1007.
    CrossRef  |  Direct Link  |  

  25. Mohamed, A.W. and A.S. Almazyad, 2017. Differential evolution with novel mutation and adaptive crossover strategies for solving large scale global optimization problems. Applied Comput. Intell. Soft Comput., Vol. 2017. 10.1155/2017/7974218.
    CrossRef  |  Direct Link  |  

  26. Mohamed, A.W., 2016. A New Modified Binary Differential Evolution Algorithm and its Applications. Appl. Math. Inf. Sci., 10: 1965-1969.
    CrossRef  |  Direct Link  |  

  27. Mohamed, A.W. and S.A. El-Quliti, 2016. A Large-Scale Nonlinear Mixed-Binary Goal Programming Model to Assess Candidate Locations for Solar Energy Stations: An Improved Binary Differential Evolution Algorithm with a Case Study. J. Comput. Theor. Nanosci., 13: 7909-7921.

  28. El-Qulity, S.A. and A.W. Mohamed, 2016. A generalized national planning approach for admission capacity in higher education: a nonlinear integer goal programming model with a novel differential evolution algorithm. Comput. Intell. Neurosci., Vol. 2016. 10.1155/2016/5207362.
    CrossRef  |  

  29. El-Quliti, S.A., A.W. Mohamed, R. Abdelaal and A. Bafil, 2016. A Multistage Procedure for Optimal Distribution of Preparatory-Year Students to Faculties and Departments: A Mixed Integer Nonlinear Goal Programming Model With Enhanced Differential Evolution Algorithm. J. Comput. Theor. Nanosci., 13: 7847-7863.

  30. El-Quliti, S.A., A.H.M. Ragab, R. Abdelaal and A.W. Mohamed et al., 2016. Higher Education Admission Capacity Planning Using a Large Scale Nonlinear Integer Goal Programming Model with Improved Differential Evolution Algorithm. J. Comput. Theor. Nanosci., 13: 7864-7878.

  31. Mohamed, A.W., 2015. An improved differential evolution algorithm with triangular mutation for global numerical optimization. Comput. Ind. Eng., 85: 359-375.
    CrossRef  |  

  32. El-Quliti, S.A., A.H.M. Ragab, R. Abdelaal, A.W. Mohamed, A.S. Mashat, A.Y. Noaman and A.H. Altalhi, 2015. A nonlinear goal programming model for university admission capacity planning with modified differential evolution algorithm. Math. Prob. Eng., Vol. 2015. 10.1155/2015/892937.
    CrossRef  |  

  33. Mohamed, A.W., 2014. RDEL: Restart Differential Evolution algorithm with Local Search Mutation for global numerical optimization. Egypt. Inf. J., 15: 175-188.
    Direct Link  |  

  34. Mohamed, A.W., H.Z. Sabry and T. Abd-Elaziz, 2013. Real parameter optimization by an effective differential evolution algorithm. Egypt. Inform. J., 14: 37-53.
    CrossRef  |  Direct Link  |  

  35. Mohamed, A.W., H.Z. Sabry and M. Khorshid, 2012. An alternative differential evolution algorithm for global optimization. J. Adv. Res., 3: 149-165.
    CrossRef  |  Direct Link  |  

  36. Mohamed, A.W. and H.Z. Sabry, 2012. Constrained optimization based on modified differential evolution algorithm. Inform. Sci., 194: 171-208.
    CrossRef  |  Direct Link  |  

  37. Wagdy, A., H. Zaher and M. Khorshid, 2011. A particle swarm approach for solving stochastic optimization problems. Applied Math. Inform. Sci. Int. J., 5: 379-401.
Member since March, 2017