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Mohamed, A. W., A. A. Hadi, and A. K. Mohamed, Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm, , vol. 11, issue 7, pp. 1501 - 1529, 2020. AbstractWebsite

This paper proposes a novel nature-inspired algorithm called Gaining Sharing Knowledge based Algorithm (GSK) for solving optimization problems over continuous space. The GSK algorithm mimics the process of gaining and sharing knowledge during the human life span. It is based on two vital stages, junior gaining and sharing phase and senior gaining and sharing phase. The present work mathematically models these two phases to achieve the process of optimization. In order to verify and analyze the performance of GSK, numerical experiments on a set of 30 test problems from the CEC2017 benchmark for 10, 30, 50 and 100 dimensions. Besides, the GSK algorithm has been applied to solve the set of real world optimization problems proposed for the IEEE-CEC2011 evolutionary algorithm competition. A comparison with 10 state-of-the-art and recent metaheuristic algorithms are executed. Experimental results indicate that in terms of robustness, convergence and quality of the solution obtained, GSK is significantly better than, or at least comparable to state-of-the-art approaches with outstanding performance in solving optimization problems especially with high dimensions.

A. W. Mohamed, Anas A. Hadi, A. K. M., "Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm", International Journal of Machine Learning and Cybernetics, vol. 11: Springer, 2020. Abstract
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A. W. Mohamed, Anas A. Hadi, A. K. M., "Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm", International Journal of Machine Learning and Cybernetics, vol. 11: Springer, 2020. Abstract
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Agrawal, P., K. Alnowibet, and A. W. Mohamed, "Gaining-Sharing Knowledge Based Algorithm for Solving Stochastic Programming Problems.", Computers, Materials & Continua, vol. 71, issue 2, 2022. Abstract
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Mohamed, A. W., H. F. Abutarboush, A. A. Hadi, and A. K. Mohamed, "Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization", IEEE Access, vol. 9, pp. 65934 - 65946, 2021. Abstract
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Mohamed, A. W., H. F. Abutarboush, A. A. Hadi, and A. K. Mohamed, "Gaining-sharing knowledge based algorithm with adaptive parameters for engineering optimization", IEEE Access, vol. 9: IEEE, pp. 65934-65946, 2021. Abstract
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Mohamed, A. W., A. A. Hadi, P. Agrawal, K. M. Sallam, and A. K. Mohamed, "Gaining-sharing knowledge based algorithm with adaptive parameters hybrid with IMODE algorithm for solving CEC 2021 benchmark problems", 2021 IEEE congress on evolutionary computation (CEC): IEEE, pp. 841-848, 2021. Abstract
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Mohamed, A. W., A. A. Hadi, P. Agrawal, K. M. Sallam, and A. K. Mohamed, "Gaining-sharing knowledge based algorithm with adaptive parameters hybrid with IMODE algorithm for solving CEC 2021 benchmark problems", 2021 IEEE congress on evolutionary computation (CEC): IEEE, pp. 841-848, 2021. Abstract
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Ganesh, N., S. Jayalakshmi, R. C. Narayanan, M. Mahdal, H. M. Zawbaa, and A. W. Mohamed, "Gated deep reinforcement learning with red deer optimization for medical image classification", IEEE Access, vol. 11: IEEE, pp. 58982-58993, 2023. Abstract
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Mohamed, A. K., A. A. Hadi, and A. W. Mohamed, "Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems", 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pp. 391 - 396, 24-26 Oct. 2020, Submitted. Abstract
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Mohamed, A. K., A. A. Hadi, and A. W. Mohamed, "Generalized adaptive differential evolution algorithm for solving CEC 2020 benchmark problems", 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES): IEEE, pp. 391-396, 2020. Abstract
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Hassan, S. A., and A. W. Mohamed, "A Generalized Model for Scheduling Multi-Objective Multiple Shuttle Ambulance Vehicles to Evacuate COVID-19 Quarantine Cases", Decision Sciences for COVID-19: Learning Through Case Studies: Springer International Publishing Cham, pp. 287-303, 2022. Abstract
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El-Qulity, S. A., and A. W. Mohamed, "A Generalized National Planning Approach for Admission Capacity in Higher Education: A Nonlinear Integer Goal Programming Model with a Novel Differential Evolution Algorithm", Computational Intelligence and Neuroscience, vol. 2016: Hindawi Publishing Corporation, 2015. Abstract
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El-Qulity, S. A., and A. W. Mohamed, "A Generalized National Planning Approach for Admission Capacity in Higher Education: A Nonlinear Integer Goal Programming Model with a Novel Differential Evolution Algorithm", Computational Intelligence and Neuroscience, vol. 2016: Hindawi Publishing Corporation, pp. 5207362, 2016. AbstractWebsite

This paper proposes a nonlinear integer goal programming model (NIGPM) for solving the general problem of admission capacity planning in a country as a whole. The work aims to satisfy most of the required key objectives of a country related to the enrollment problem for higher education. The system general outlines are developed along with the solution methodology for application to the time horizon in a given plan. The up-to-date data for Saudi Arabia is used as a case study and a novel evolutionary algorithm based on modified differential evolution (DE) algorithm is used to solve the complexity of the NIGPM generated for different goal priorities. The experimental results presented in this paper show their effectiveness in solving the admission capacity for higher education in terms of final solution quality and robustness.

Zhang, H., J. Shi, J. Sun, A. W. Mohamed, and Z. Xu, "A Gradient-based Method for Differential Evolution Parameter Control by Smoothing", Proceedings of the Genetic and Evolutionary Computation Conference Companion, pp. 423-426, 2024. Abstract
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Chandrika, N. G., K. Alnowibet, S. K. Kautish, S. E. Reddy, A. F. Alrasheedi, and A. W. Mohamed, "Graph Transformer for Communities Detection in Social Networks.", Computers, Materials & Continua, vol. 70, issue 3, 2022. Abstract
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Nomer, H. A. A., A. W. Mohamed, and A. H. Yousef, "GSK-RL: Adaptive gaining-sharing knowledge algorithm using reinforcement learning", 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES): IEEE, pp. 169-174, 2021. Abstract
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Alnowibet, K. A., S. Mahdi, M. El-Alem, M. Abdelawwad, and A. W. Mohamed, "Guided hybrid modified simulated annealing algorithm for solving constrained global optimization problems", Mathematics, vol. 10, issue 8: MDPI, pp. 1312, 2022. Abstract
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Mohamed, A. W., S. Mahdi, K. A. Alnowibet, and M. El-Alem, "Guided Hybrid Modified Simulated Annealing Algorithm for Solving Constrained Global Optimization Problems", Mathematics, vol. 10, issue 8: MDPI, 2022. Abstract
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