Laith Abualigah
Laith Abualigah
Amman Arab University
Dirección de correo verificada de aau.edu.jo
Título
Citado por
Citado por
Año
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 (11), 4773-4795, 2017
3232017
Feature selection and enhanced krill herd algorithm for text document clustering
LMQ Abualigah
Springer BooK, 2019
3122019
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
3012018
Hybrid clustering analysis using improved krill herd algorithm
LM Abualigah, AT Khader, ES Hanandeh
Applied Intelligence 48 (11), 4047-4071, 2018
2752018
Applying genetic algorithms to information retrieval using vector space model
LMQ Abualigah, ES Hanandeh
International Journal of Computer Science, Engineering and Applications 5 (1 …, 2015
2062015
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
1992018
A novel hybridization strategy for krill herd algorithm applied to clustering techniques
LM Abualigah, AT Khader, ES Hanandeh, AH Gandomi
Applied Soft Computing 60, 423-435, 2017
1692017
Text feature selection with a robust weight scheme and dynamic dimension reduction to text document clustering
LM Abualigah, AT Khader, MA Al-Betar, OA Alomari
Expert Systems with Applications 84, 24-36, 2017
1522017
Salp swarm algorithm: a comprehensive survey
L Abualigah, M Shehab, M Alshinwan, H Alabool
Neural Computing and Applications, 1-21, 2019
1422019
A comprehensive review: Krill Herd algorithm (KH) and its applications
AL Bolaji, MA Al-Betar, MA Awadallah, AT Khader, LM Abualigah
Applied Soft Computing 49, 437-446, 2016
1082016
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
982021
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments.
LM Abualigah, A Diabat
Clust. Comput. 24 (1), 205-223, 2021
852021
Group search optimizer: a nature-inspired meta-heuristic optimization algorithm with its results, variants, and applications
L Abualigah
Neural Computing and Applications 33 (7), 2949-2972, 2021
622021
Unsupervised feature selection technique based on genetic algorithm for improving the text clustering
LM Abualigah, AT Khader, MA Al-Betar
2016 7th international conference on computer science and information …, 2016
572016
A krill herd algorithm for efficient text documents clustering
LM Abualigah, AT Khader, MA Al-Betar, MA Awadallah
2016 IEEE symposium on computer applications & industrial electronics …, 2016
552016
Big data and E-government: A review
ZA Al-Sai, LM Abualigah
2017 8th international conference on information technology (ICIT), 580-587, 2017
532017
A comprehensive survey of the Grasshopper optimization algorithm: results, variants, and applications
L Abualigah, A Diabat
Neural Computing and Applications, 1-24, 2020
512020
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
462020
Gene selection for cancer classification by combining minimum redundancy maximum relevancy and bat-inspired algorithm
OA Alomari, AT Khader, MA Al-Betar, LM Abualigah
International Journal of Data Mining and Bioinformatics 19 (1), 32-51, 2017
452017
A hybrid strategy for krill herd algorithm with harmony search algorithm to improve the data clustering𝟏
LM Abualigah, AT Khader, ES Hanandeh
Intelligent Decision Technologies 12 (1), 3-14, 2018
432018
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