| 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 | 281 | 2017 |
| 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 | 221 | 2018 |
| Feature selection and enhanced krill herd algorithm for text document clustering LMQ Abualigah Springer, 2019 | 219 | 2019 |
| Hybrid clustering analysis using improved krill herd algorithm LM Abualigah, AT Khader, ES Hanandeh Applied Intelligence 48 (11), 4047-4071, 2018 | 214 | 2018 |
| 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 | 184 | 2015 |
| 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 | 171 | 2018 |
| 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 | 146 | 2017 |
| 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 | 125 | 2017 |
| 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 | 88 | 2016 |
| 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 | 51 | 2016 |
| Multi-verse optimizer algorithm: a comprehensive survey of its results, variants, and applications L Abualigah Neural Computing and Applications, 1-21, 2020 | 50 | 2020 |
| 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 | 48 | 2016 |
| Big data and E-government: A review ZA Al-Sai, LM Abualigah 2017 8th international conference on information technology (ICIT), 580-587, 2017 | 41 | 2017 |
| A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments L Abualigah, A Diabat Cluster Computing, 1-19, 2020 | 40 | 2020 |
| 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 | 38 | 2018 |
| Multi-objectives-based text clustering technique using K-mean algorithm LM Abualigah, AT Khader, MA Al-Betar 2016 7th International Conference on Computer Science and Information …, 2016 | 37 | 2016 |
| 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 | 35 | 2017 |
| Salp swarm algorithm: a comprehensive survey L Abualigah, M Shehab, M Alshinwan, H Alabool Neural Computing and Applications, 1-21, 2019 | 34 | 2019 |
| Hybridizing cuckoo search algorithm with hill climbing for numerical optimization problems M Shehab, AT Khader, MA Al-Betar, LM Abualigah 2017 8th International conference on information technology (ICIT), 36-43, 2017 | 32 | 2017 |
| 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 | 31 | 2020 |
Ahamad Tajudin KhaderProfessor of Computer Science, Universiti Sains MalaysiaDirección de correo verificada de usm.my
