Nazar K. Hussein

According to our database, Nazar K. Hussein authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

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., February, 2024

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., July, 2023

Photovoltaic parameter estimation using improved moth flame algorithms with local escape operators.

Mohammed Qaraad, Souad Amjad, Nazar K. Hussein, Mahmoud Badawy, Seyedali Mirjalili, Mostafa A. Elhosseini

Comput. Electr. Eng., March, 2023

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

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

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

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

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