A survey on applications and variants of the cuckoo search algorithm M Shehab, AT Khader, MA Al-Betar Applied soft computing 61, 1041-1059, 2017 | 235 | 2017 |
Salp swarm algorithm: a comprehensive survey L Abualigah, M Shehab, M Alshinwan, H Alabool Neural Computing and Applications 32 (15), 11195-11215, 2020 | 195 | 2020 |
Moth–flame optimization algorithm: variants and applications M Shehab, L Abualigah, H Al Hamad, H Alabool, M Alshinwan, ... Neural Computing and Applications 32, 9859-9884, 2020 | 165 | 2020 |
Ant lion optimizer: a comprehensive survey of its variants and applications L Abualigah, M Shehab, M Alshinwan, S Mirjalili, MA Elaziz Archives of Computational Methods in Engineering 28 (3), 1397-1416, 2021 | 114 | 2021 |
Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization M Shehab, AT Khader, M Laouchedi, OA Alomari The Journal of Supercomputing 75, 2395-2422, 2019 | 65 | 2019 |
Sentiment analysis in healthcare: a brief review L Abualigah, HE Alfar, M Shehab, AMA Hussein Recent advances in NLP: the case of Arabic language, 129-141, 2020 | 62 | 2020 |
Modified Cuckoo Search Algorithm Using A New Selection Scheme for Unconstrained Optimization Problems M Shehab, AT Khader Current Medical Imaging Reviews 14, 2018 | 62 | 2018 |
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 | 58 | 2022 |
Text summarization: a brief review L Abualigah, MQ Bashabsheh, H Alabool, M Shehab Recent Advances in NLP: the case of Arabic language, 1-15, 2020 | 56 | 2020 |
Enhanced a hybrid moth-flame optimization algorithm using new selection schemes M Shehab, H Alshawabkah, L Abualigah, N AL-Madi Engineering with Computers 37, 2931-2956, 2021 | 54 | 2021 |
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 | 51 | 2017 |
A hybrid method based on cuckoo search algorithm for global optimization problems M Shehab, AT Khader, M Laouchedi Journal of Information and Communication Technology 17 (3), 469-491, 2018 | 46 | 2018 |
Dragonfly algorithm: a comprehensive survey of its results, variants, and applications M Alshinwan, L Abualigah, M Shehab, MA Elaziz, AM Khasawneh, ... Multimedia Tools and Applications 80, 14979-15016, 2021 | 39 | 2021 |
Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications L Abualigah, M Shehab, A Diabat, A Abraham Engineering with Computers 38 (2), 1149-1175, 2022 | 34 | 2022 |
Modified cuckoo search algorithm for solving global optimization problems M Shehab, AT Khader, M Laouchedi Recent Trends in Information and Communication Technology: Proceedings of …, 2018 | 34 | 2018 |
β-hill climbing technique for the text document clustering LM Abualigah, AM Sawaie, AT Khader, H Rashaideh, MA Al-Betar, ... New Trends in Information Technology (NTIT)–2017 60, 2017 | 33 | 2017 |
A parallel hybrid krill herd algorithm for feature selection L Abualigah, B Alsalibi, M Shehab, M Alshinwan, AM Khasawneh, ... International Journal of Machine Learning and Cybernetics 12, 783-806, 2021 | 32 | 2021 |
New selection schemes for particle swarm optimization M Shehab, AT Khader, M Al-Betar IEEJ Transactions on Electronics, Information and Systems 136 (12), 1706-1711, 2016 | 28 | 2016 |
Hybridising cuckoo search algorithm for extracting the ODF maxima in spherical harmonic representation M Shehab, MS Daoud, HM AlMimi, LM Abualigah, AT Khader International Journal of Bio-Inspired Computation 14 (3), 190-199, 2019 | 25 | 2019 |
Enhancing cuckoo search algorithm by using reinforcement learning for constrained engineering optimization problems M Shehab, AT Khader, MA Alia 2019 IEEE Jordan international joint conference on electrical engineering …, 2019 | 19 | 2019 |