An Efficient SVM-Based Feature Selection Model for Cancer Classification Using High-Dimensional Microarray Data. - Passent Mohammed El-Kafrawy; Hanaa Fathi; Mohammed Qaraad; Ayda K. Kelany; Xumin Chen (IEEE Access, 2021)

A Hybrid Feature Selection Optimization Model for High Dimension Data Classification. - Mohammed Qaraad; Souad Amjad; Ibrahim I. M. Manhrawy; Hanaa Fathi; Bayoumi Ali Hassan; Passent Mohammed El-Kafrawy (IEEE Access, 2021)

Hybrid feature selection model based on relief-based algorithms and regulizer algorithms for cancer classification. - Ibrahim I. M. Manhrawy; Mohammed Qaraad; Passent Mohammed El-Kafrawy (Concurr. Comput. Pract. Exp., 2021)

Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; Seyedali Mirjalili; Nadhir Ben Halima; Mostafa A. Elhosseini (IEEE Access, 2022)

Addressing constrained engineering problems and feature selection with a time-based leadership salp-based algorithm with competitive learning. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; Mostafa A. El-Hosseini (J. Comput. Des. Eng., 2022)

Large scale salp-based grey wolf optimization for feature selection and global optimization. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; Mostafa A. Elhosseini (Neural Comput. Appl., 2022)

An innovative quadratic interpolation salp swarm-based local escape operator for large-scale global optimization problems and feature selection. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; Mostafa A. Elhosseini (Neural Comput. Appl., 2022)

An innovative time-varying particle swarm-based Salp algorithm for intrusion detection system and large-scale global optimization problems. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; Seyedali Mirjalili; Mostafa A. Elhosseini (Artif. Intell. Rev., 2023)

Photovoltaic parameter estimation using improved moth flame algorithms with local escape operators. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; Mahmoud Badawy 001; Seyedali Mirjalili; Mostafa A. Elhosseini (Comput. Electr. Eng., 2023)

Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection. - Nazar K. Hussein; Mohammed Qaraad; Souad Amjad; M. A. Farag; Saima Hassan; Seyedali Mirjalili; Mostafa A. El-Hosseini (J. Comput. Des. Eng., 2023)

Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation. - Mohammed Qaraad; Souad Amjad; Nazar K. Hussein; M. A. Farag; Seyedali Mirjalili; Mostafa A. Elhosseini (Expert Syst. Appl., 2024)

Schrödinger optimizer: A quantum duality-driven metaheuristic for stochastic optimization and engineering challenges. - Nazar K. Hussein; Mohammed Qaraad; Abdelwahab M. El Najjar; M. A. Farag; Mostafa A. Elhosseini; Seyedali Mirjalili; David Guinovart (Knowl. Based Syst., 2025)