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)

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)

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)

A Hybrid Cuckoo Search and Simulated Annealing Algorithm. - Faisal Alkhateeb; Bilal H. Abed-alguni (J. Intell. Syst., 2019)

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)

Intelligent hybrid cuckoo search and β-hill climbing algorithm. - Bilal H. Abed-alguni; Faisal Alkhateeb (J. King Saud Univ. Comput. Inf. Sci., 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)

Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments. - Bilal H. Abed-alguni; Noor Aldeen Alawad (Appl. Soft Comput., 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)

Improved Salp swarm algorithm for solving single-objective continuous optimization problems. - Bilal H. Abed-alguni; David J. Paul; Rafat Hammad (Appl. Intell., 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)

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)

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)

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., 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., 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., 2023)

IBJA: An improved binary DJaya algorithm for feature selection. - Bilal H. Abed-alguni; Saqer Hamzeh Al-Jarah (J. Comput. Sci., 2024)

Improved arithmetic optimization algorithm for patient admission scheduling problem. - Noor Aldeen Alawad; Bilal H. Abed-alguni; Israa I. Saleh (Soft Comput., 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., 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., 2024)

Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm. - Nour Elhuda A. Al-qudah; Bilal H. Abed-alguni; Malek M. Barhoush (Int. J. Mach. Learn. Cybern., 2024)

EBAO: An intrusion detection framework for wireless sensor networks using an enhanced binary Aquila Optimizer. - Noor Aldeen Alawad; Bilal H. Abed-alguni; Ala Mohammad Shakhatreh (Knowl. Based Syst., 2025)