Laith Abualigah
Laith Abualigah
Professor, Al al-Bayt University - Highly Cited Researcher
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Cited by
The arithmetic optimization algorithm
L Abualigah, A Diabat, S Mirjalili, M Abd Elaziz, AH Gandomi
Computer methods in applied mechanics and engineering 376, 113609, 2021
Aquila optimizer: a novel meta-heuristic optimization algorithm
L Abualigah, D Yousri, M Abd Elaziz, AA Ewees, MAA Al-Qaness, ...
Computers & Industrial Engineering 157, 107250, 2021
Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer
L Abualigah, M Abd Elaziz, P Sumari, ZW Geem, AH Gandomi
Expert Systems with Applications 191, 116158, 2022
Dwarf mongoose optimization algorithm
JO Agushaka, AE Ezugwu, L Abualigah
Computer methods in applied mechanics and engineering 391, 114570, 2022
Feature selection and enhanced krill herd algorithm for text document clustering
LMQ Abualigah
Springer BooK, 2019
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
AE Ezugwu, AM Ikotun, OO Oyelade, L Abualigah, JO Agushaka, CI Eke, ...
Engineering Applications of Artificial Intelligence 110, 104743, 2022
K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data
AM Ikotun, AE Ezugwu, L Abualigah, B Abuhaija, J Heming
Information Sciences 622, 178-210, 2023
A new feature selection method to improve the document clustering using particle swarm optimization algorithm
LM Abualigah, AT Khader, ES Hanandeh
Journal of Computational Science 25, 456-466, 2018
Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering
LM Abualigah, AT Khader
The Journal of Supercomputing 73, 4773-4795, 2017
Prairie dog optimization algorithm
AE Ezugwu, JO Agushaka, L Abualigah, S Mirjalili, AH Gandomi
Neural Computing and Applications 34 (22), 20017-20065, 2022
Hybrid clustering analysis using improved krill herd algorithm
LM Abualigah, AT Khader, ES Hanandeh
Applied Intelligence 48 (11), 4047-4071, 2018
Salp swarm algorithm: a comprehensive survey
L Abualigah, M Shehab, M Alshinwan, H Alabool
Neural Computing and Applications, 1-21, 2019
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
L Abualigah, A Diabat
Cluster Computing 24 (1), 205-223, 2021
Ebola optimization search algorithm: A new nature-inspired metaheuristic optimization algorithm
ON Oyelade, AES Ezugwu, TIA Mohamed, L Abualigah
IEEE Access 10, 16150-16177, 2022
Advances in Sine Cosine Algorithm: A comprehensive survey
L Abualigah, A Diabat
Artificial Intelligence Review, 1-42, 2021
Machine learning in medical applications: A review of state-of-the-art methods
M Shehab, L Abualigah, Q Shambour, MA Abu-Hashem, MKY Shambour, ...
Computers in Biology and Medicine 145, 105458, 2022
Moth–flame optimization algorithm: variants and applications
M Shehab, L Abualigah, H Al Hamad, H Alabool, M Alshinwan, ...
Neural Computing and Applications 32 (14), 9859-9884, 2020
A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis
LM Abualigah, AT Khader, ES Hanandeh
Engineering Applications of Artificial Intelligence 73, 111-125, 2018
Applying genetic algorithms to information retrieval using vector space model
LMQ Abualigah, ES Hanandeh
International Journal of Computer Science, Engineering and Applications …, 2015
Applications, deployments, and integration of internet of drones (iod): a review
L Abualigah, A Diabat, P Sumari, AH Gandomi
IEEE Sensors Journal 21 (22), 25532-25546, 2021
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