Bilal H. Abed-alguni

According to our database, Bilal H. Abed-alguni authored at least 20 papers between 2015 and 2024.

Collaborative distances:

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

2024

BOC-PDO: an intrusion detection model using binary opposition cellular prairie dog optimization algorithm.

Bilal H. Abed-alguni, Basil M. Alzboun, Noor Aldeen Alawad

Clust. Comput., December, 2024

Hybrid Snake Optimizer Algorithm for Solving Economic Load Dispatch Problem with Valve Point Effect.

Noor Aldeen Alawad, Bilal H. Abed-alguni, Misaa El-ibini

J. Supercomput., September, 2024

Improved arithmetic optimization algorithm for patient admission scheduling problem.

Noor Aldeen Alawad, Bilal H. Abed-alguni, Israa I. Saleh

Soft Comput., April, 2024

IBJA: An improved binary DJaya algorithm for feature selection.

Bilal H. Abed-alguni, Saqer Hamzeh Al-Jarah

J. Comput. Sci., 2024

2023

Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems.

Malek M. Barhoush, Bilal H. Abed-alguni, Nour Elhuda A. Al-qudah

J. Supercomput., December, 2023

Binary improved white shark algorithm for intrusion detection systems.

Noor Aldeen Alawad, Bilal H. Abed-alguni, Mohammed Azmi Al-Betar, Ameera Jaradat

Neural Comput. Appl., September, 2023

Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection.

Bilal H. Abed-alguni, Noor Aldeen Alawad, Mohammed Azmi Al-Betar, David J. Paul

Appl. Intell., June, 2023

2022

Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem.

Faisal Alkhateeb, Bilal H. Abed-alguni, Mohammad Hani Al-rousan

J. Supercomput., 2022

Discrete Jaya with refraction learning and three mutation methods for the permutation flow shop scheduling problem.

Noor Aldeen Alawad, Bilal H. Abed-alguni

J. Supercomput., 2022

Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems.

Bilal H. Abed-alguni, David J. Paul

Soft Comput., 2022

Improved Salp swarm algorithm for solving single-objective continuous optimization problems.

Bilal H. Abed-alguni, David J. Paul, Rafat Hammad

Appl. Intell., 2022

2021

Exploratory cuckoo search for solving single-objective optimization problems.

Bilal H. Abed-alguni, Noor Aldeen Alawad, Malek M. Barhoush, Rafat Hammad

Soft Comput., 2021

Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments.

Bilal H. Abed-alguni, Noor Aldeen Alawad

Appl. Soft Comput., 2021

2020

Hybridizing the Cuckoo Search Algorithm with Different Mutation Operators for Numerical Optimization Problems.

Bilal H. Abed-alguni, David J. Paul

J. Intell. Syst., 2020

Intelligent hybrid cuckoo search and <i>β</i>-hill climbing algorithm.

Bilal H. Abed-alguni, Faisal Alkhateeb

J. King Saud Univ. Comput. Inf. Sci., 2020

Hybrid whale optimisation and β-hill climbing algorithm for continuous optimisation problems.

Bilal H. Abed-alguni, Ahmad F. Klaib

Int. J. Comput. Sci. Math., 2020

2019

A Hybrid Cuckoo Search and Simulated Annealing Algorithm.

Faisal Alkhateeb, Bilal H. Abed-alguni

J. Intell. Syst., 2019

Island-based whale optimisation algorithm for continuous optimisation problems.

Bilal H. Abed-alguni, Ahmad F. Klaib, Khalid M. O. Nahar

Int. J. Reason. based Intell. Syst., 2019

2015

Erratum to: A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers.

Bilal H. Abed-alguni, Stephan K. Chalup, Frans A. Henskens, David J. Paul

Vietnam. J. Comput. Sci., 2015

A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers.

Bilal H. Abed-alguni, Stephan K. Chalup, Frans A. Henskens, David J. Paul

Vietnam. J. Comput. Sci., 2015