Zakaria Abd El Moiz Dahi

According to our database, Zakaria Abd El Moiz Dahi authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints.

José Á. Morell, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba

Future Gener. Comput. Syst., 2024

Scalable Quantum Approximate Optimiser for Pseudo-Boolean Multi-objective Optimisation.

Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Bilel Derbel, Enrique Alba

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation.

Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities.

José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba

Proceedings of the Optimization and Learning - 6th International Conference, 2023

An Efficient QAOA via a Polynomial QPU-Needless Approach.

Francisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

Metaheuristics on quantum computers: Inspiration, simulation and real execution.

Zakaria Abdelmoiz Dahi, Enrique Alba

Future Gener. Comput. Syst., 2022

A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in <i>pre</i>-5G cellular networks.

Zakaria Abdelmoiz Dahi, Enrique Alba, Gabriel Luque

Appl. Soft Comput., 2022

Genetic algorithm for qubits initialisation in noisy intermediate-scale quantum machines: the IBM case study.

Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Optimising Communication Overhead in Federated Learning Using NSGA-II.

José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

A Machine Learning-Based Approach for Economics-Tailored Applications: The Spanish Case Study.

Zakaria Abdelmoiz Dahi, Gabriel Luque, Enrique Alba

Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2020

The grid-to-neighbourhood relationship in cellular GAs: from design to solving complex problems.

Zakaria Abd El Moiz Dahi, Enrique Alba

Soft Comput., 2020

2018

A stop-and-start adaptive cellular genetic algorithm for mobility management of GSM-LTE cellular network users.

Zakaria Abd El Moiz Dahi, Enrique Alba, Amer Draa

Expert Syst. Appl., 2018

2017

A 0-1 bat algorithm for cellular network optimisation: a systematic study on mapping techniques.

Zakaria Abd El Moiz Dahi, Chaker Mezioud, Amer Draa

Int. J. Reason. based Intell. Syst., 2017

2016

A quantum-inspired genetic algorithm for solving the antenna positioning problem.

Zakaria Abd El Moiz Dahi, Chaker Mezioud, Amer Draa

Swarm Evol. Comput., 2016

On the efficiency of the binary flower pollination algorithm: Application on the antenna positioning problem.

Zakaria Abd El Moiz Dahi, Chaker Mezioud, Amer Draa

Appl. Soft Comput., 2016

A Novel Adaptive Genetic Algorithm for Mobility Management in Cellular Networks.

Zakaria Abd El Moiz Dahi, Chaker Mezioud, Enrique Alba

Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

2015

Deterministically-Adaptive Genetic Algorithm To Solve Binary Communication Problems: Application On The Error Correcting Code Problem.

Zakaria Abd El Moiz Dahi, Mezioud Chaker, Amer Draa

Proceedings of the IPAC '15: International Conference on Intelligent Information Processing, 2015

Binary Bat Algorithm: On The Efficiency of Mapping Functions When Handling Binary Problems Using Continuous-variable-based Metaheuristics.

Dahi Zakaria Abd El Moiz, Chaker Mezioud, Amer Draa

Proceedings of the Computer Science and Its Applications, 2015

2014

Towards a Dynamic Based Agents Architecture for Cellular Networks Optimisation: Cell Breathing.

Dahi Zakaria Abd El Moiz, Mezioud Chaker

Proceedings of the Intelligent Robotics and Applications - 7th International Conference, 2014