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Bilal H. Abed-alguni
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2020 – today
- 2024
- [j21]Bilal H. Abed-alguni, Basil M. Alzboun, Noor Aldeen Alawad:
BOC-PDO: an intrusion detection model using binary opposition cellular prairie dog optimization algorithm. Clust. Comput. 27(10): 14417-14449 (2024) - [j20]Bilal H. Abed-alguni, Saqer Hamzeh Al-Jarah:
IBJA: An improved binary DJaya algorithm for feature selection. J. Comput. Sci. 75: 102201 (2024) - [j19]Nour Elhuda A. Al-qudah, Bilal H. Abed-alguni, Malek M. Barhoush:
Bi-objective feature selection in high-dimensional datasets using improved binary chimp optimization algorithm. Int. J. Mach. Learn. Cybern. 15(12): 6107-6148 (2024) - [j18]Noor Aldeen Alawad, Bilal H. Abed-alguni, Israa I. Saleh:
Improved arithmetic optimization algorithm for patient admission scheduling problem. Soft Comput. 28(7): 5853-5879 (2024) - [j17]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): 19274-19323 (2024) - 2023
- [j16]Bilal H. Abed-alguni, Noor Aldeen Alawad, Mohammed Azmi Al-Betar, David J. Paul:
Opposition-based sine cosine optimizer utilizing refraction learning and variable neighborhood search for feature selection. Appl. Intell. 53(11): 13224-13260 (2023) - [j15]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): 19427-19451 (2023) - [j14]Malek M. 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): 21265-21309 (2023) - 2022
- [j13]Bilal H. Abed-alguni, David J. Paul, Rafat Hammad:
Improved Salp swarm algorithm for solving single-objective continuous optimization problems. Appl. Intell. 52(15): 17217-17236 (2022) - [j12]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): 3293-3312 (2022) - [j11]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): 3517-3538 (2022) - [j10]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): 4799-4826 (2022) - 2021
- [j9]Bilal H. Abed-alguni, Noor Aldeen Alawad:
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments. Appl. Soft Comput. 102: 107113 (2021) - [j8]Bilal H. Abed-alguni, Noor Aldeen Alawad, Malek M. Barhoush, Rafat Hammad:
Exploratory cuckoo search for solving single-objective optimization problems. Soft Comput. 25(15): 10167-10180 (2021) - 2020
- [j7]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): 350-363 (2020) - [j6]Bilal H. Abed-alguni, Faisal Alkhateeb:
Intelligent hybrid cuckoo search and β-hill climbing algorithm. J. King Saud Univ. Comput. Inf. Sci. 32(2): 159-173 (2020) - [j5]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): 1043-1062 (2020)
2010 – 2019
- 2019
- [j4]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): 319-329 (2019) - [j3]Faisal Alkhateeb, Bilal H. Abed-alguni:
A Hybrid Cuckoo Search and Simulated Annealing Algorithm. J. Intell. Syst. 28(4): 683-698 (2019) - 2015
- [j2]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): 213-226 (2015) - [j1]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): 227 (2015)
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last updated on 2024-11-14 22:04 CET by the dblp team
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