A
Ali Wagdy Mohamed
Researcher at Cairo University
Publications - 130
Citations - 2933
Ali Wagdy Mohamed is an academic researcher from Cairo University. The author has contributed to research in topics: Computer science & Differential evolution. The author has an hindex of 18, co-authored 72 publications receiving 1284 citations. Previous affiliations of Ali Wagdy Mohamed include Al-Yamamah Private University & American University in Cairo.
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Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm
TL;DR: 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.
Proceedings ArticleDOI
LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems
TL;DR: Experimental results indicate that in terms of robustness, stability, and quality of the solution obtained, of both LSHade-SPA and LSHADE-SPACMA are better than LSHades algorithm, especially as the dimension increases.
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Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
TL;DR: In this article, an extensive literature review on solving feature selection problem using metaheuristic algorithms which are developed in the ten years (2009-2019) is presented, and a categorical list of more than a hundred metaheuristics algorithms is presented.
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Constrained optimization based on modified differential evolution algorithm
TL;DR: The comparison results between the COMDE and the other 28 state-of-the-art evolutionary algorithms indicate that the proposed COMDE algorithm is competitive with, and in some cases superior to, other existing algorithms in terms of the quality, efficiency, convergence rate, and robustness of the final solution.
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Adaptive guided differential evolution algorithm with novel mutation for numerical optimization
TL;DR: Experimental results indicate that in terms of robustness, stability and quality of the solution obtained, AGDE is significantly better than, or at least comparable to state-of-the-art approaches.