Ali Khater Mohamed

Orcid: 0000-0001-9202-244X

Affiliations:
  • October University for Modern Sciences and Arts, MSA, Computer Science Department, Faculty of Computer Science, Giza, Egypt
  • Majmaah University, College of Science and Humanities, Saudi Arabia
  • Cairo University, Department of Operations Research and Decision Support, Egypt (PhD)


According to our database1, Ali Khater Mohamed authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Aero engines remaining useful life prediction based on enhanced adaptive guided differential evolution.
Evol. Intell., April, 2024

2023
Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems.
Neural Comput. Appl., 2023

2021
Differential Evolution Mutations: Taxonomy, Comparison and Convergence Analysis.
IEEE Access, 2021

Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization.
IEEE Access, 2021

Gaining-Sharing Knowledge Based Algorithm with Adaptive Parameters Hybrid with IMODE Algorithm for Solving CEC 2021 Benchmark Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm.
Int. J. Mach. Learn. Cybern., 2020

Neural Network with Adaptive Learning Rate.
Proceedings of the 2nd Novel Intelligent and Leading Emerging Sciences Conference, 2020

Generalized Adaptive Differential Evolution algorithm for Solving CEC 2020 Benchmark Problems.
Proceedings of the 2nd Novel Intelligent and Leading Emerging Sciences Conference, 2020

Evaluating the Performance of Adaptive GainingSharing Knowledge Based Algorithm on CEC 2020 Benchmark Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Solving Constrained Non-linear Integer and Mixed-Integer Global Optimization Problems Using Enhanced Directed Differential Evolution Algorithm.
Proceedings of the Machine Learning Paradigms: Theory and Application, 2019

Real-Parameter Unconstrained Optimization Based on Enhanced AGDE Algorithm.
Proceedings of the Machine Learning Paradigms: Theory and Application, 2019

Adaptive guided differential evolution algorithm with novel mutation for numerical optimization.
Int. J. Mach. Learn. Cybern., 2019

Enhanced Directed Differential Evolution Algorithm for Solving Constrained Engineering Optimization Problems.
Int. J. Appl. Metaheuristic Comput., 2019

2018
Enhancing AGDE Algorithm Using Population Size Reduction for Global Numerical Optimization.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2018


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