Bilal H. Abed-alguni

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Optimisation Problems

Intrusion Detection System

Feature Selection

Hill Climbing Algorithm

Top Venues

J. Supercomput.

J. Intell. Syst.

Publications

Noor Aldeen Alawad, Bilal H. Abed-alguni, Israa I. Saleh
Improved arithmetic optimization algorithm for patient admission scheduling problem. Soft Comput. 28 (7) (2024)
Noor Aldeen Alawad, Bilal H. Abed-alguni, Misaa El-ibini
Hybrid Snake Optimizer Algorithm for Solving Economic Load Dispatch Problem with Valve Point Effect. J. Supercomput. 80 (13) (2024)
Bilal H. Abed-alguni, Saqer Hamzeh Al-Jarah
IBJA: An improved binary DJaya algorithm for feature selection. J. Comput. Sci. 75 (2024)
Bilal H. Abed-alguni, Noor Aldeen Alawad, Mohammed Azmi Al-Betar, David Paul
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection. Appl. Intell. 53 (11) (2023)
Malek Barhoush, Bilal H. Abed-alguni, Nour Elhuda A. Al-qudah
Improved discrete salp swarm algorithm using exploration and exploitation techniques for feature selection in intrusion detection systems. J. Supercomput. 79 (18) (2023)
Noor Aldeen Alawad, Bilal H. Abed-alguni, Mohammed Azmi Al-Betar, Ameera Jaradat
Binary improved white shark algorithm for intrusion detection systems. Neural Comput. Appl. 35 (26) (2023)
Faisal Alkhateeb, Bilal H. Abed-alguni, Mohammad Hani Al-rousan
Discrete hybrid cuckoo search and simulated annealing algorithm for solving the job shop scheduling problem. J. Supercomput. 78 (4) (2022)
Bilal H. Abed-alguni, David J. Paul, Rafat Hammad
Improved Salp swarm algorithm for solving single-objective continuous optimization problems. Appl. Intell. 52 (15) (2022)
Bilal H. Abed-alguni, David J. Paul
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems. Soft Comput. 26 (7) (2022)
Noor Aldeen Alawad, Bilal H. Abed-alguni
Discrete Jaya with refraction learning and three mutation methods for the permutation flow shop scheduling problem. J. Supercomput. 78 (3) (2022)
Bilal H. Abed-alguni, Noor Aldeen Alawad
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments. Appl. Soft Comput. 102 (2021)
Bilal H. Abed-alguni, Noor Aldeen Alawad, Malek Barhoush, Rafat Hammad
Exploratory cuckoo search for solving single-objective optimization problems. Soft Comput. 25 (15) (2021)
Bilal H. Abed-alguni, Faisal Alkhateeb
-hill climbing algorithm. J. King Saud Univ. Comput. Inf. Sci. 32 (2) (2020)
Bilal H. Abed-alguni, Ahmad F. Klaib
Hybrid whale optimisation and β-hill climbing algorithm for continuous optimisation problems. Int. J. Comput. Sci. Math. 12 (4) (2020)
Bilal H. Abed-alguni, David J. Paul
Hybridizing the Cuckoo Search Algorithm with Different Mutation Operators for Numerical Optimization Problems. J. Intell. Syst. 29 (1) (2020)
Faisal Alkhateeb, Bilal H. Abed-alguni
A Hybrid Cuckoo Search and Simulated Annealing Algorithm. J. Intell. Syst. 28 (4) (2019)
Bilal H. Abed-alguni, Ahmad F. Klaib, Khalid M. O. Nahar
Island-based whale optimisation algorithm for continuous optimisation problems. Int. J. Reason. based Intell. Syst. 11 (4) (2019)
Bilal H. Abed-alguni, Stephan K. Chalup, Frans A. Henskens, David J. Paul
Erratum to: A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers. Vietnam. J. Comput. Sci. 2 (4) (2015)
Bilal H. Abed-alguni, Stephan K. Chalup, Frans A. Henskens, David J. Paul
A multi-agent cooperative reinforcement learning model using a hierarchy of consultants, tutors and workers. Vietnam. J. Comput. Sci. 2 (4) (2015)