Mohammad Shehab
Mohammad Shehab
The World Islamic Science and Education University
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Cited by
Cited by
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
Salp swarm algorithm: a comprehensive survey
L Abualigah, M Shehab, M Alshinwan, H Alabool
Neural Computing and Applications, 1-21, 2019
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
Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization
M Shehab, AT Khader, M Laouchedi, OA Alomari
The Journal of Supercomputing 75 (5), 2395-2422, 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
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
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
Enhanced a hybrid moth-flame optimization algorithm using new selection schemes
M Shehab, H Alshawabkah, L Abualigah, N AL-Madi
Engineering with Computers 37 (4), 2931-2956, 2021
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
Modified cuckoo search algorithm for solving global optimization problems
M Shehab, AT Khader, M Laouchedi
International conference of reliable information and communication …, 2017
Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications
L Abualigah, M Shehab, A Diabat, A Abraham
Engineering with Computers, 1-27, 2020
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
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
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 (3), 783-806, 2021
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
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 (10), 14979-15016, 2021
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
Artificial intelligence techniques for containment COVID-19 pandemic: a systematic review
H Alabool, D Alarabiat, L Abualigah, M Habib, AM Khasawneh, ...
Research Square Platform LLC, 2020
Ts-gwo: Iot tasks scheduling in cloud computing using grey wolf optimizer
L Abualigah, M Shehab, M Alshinwan, H Alabool, HY Abuaddous, ...
Swarm intelligence for cloud computing, 127-152, 2020
(AIAM2019) Artificial Intelligence in Software Engineering and inverse
M Shehab, L Abualigah, MI Jarrah, OA Alomari, MS Daoud
International Journal of Computer Integrated Manufacturing 33 (10-11), 1129-1144, 2020
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