Harris hawks optimization: Algorithm and applications AA Heidari, S Mirjalili, H Faris, I Aljarah, M Mafarja, H Chen Future generation computer systems 97, 849-872, 2019 | 4258 | 2019 |
Grey wolf optimizer: a review of recent variants and applications H Faris, I Aljarah, MA Al-Betar, S Mirjalili Neural Computing and Applications, 1-23, 2017 | 861 | 2017 |
Optimizing connection weights in neural networks using the whale optimization algorithm I Aljarah, H Faris, S Mirjalili Soft Computing 22, 1-15, 2018 | 727 | 2018 |
Grasshopper optimization algorithm for multi-objective optimization problems SZ Mirjalili, S Mirjalili, S Saremi, H Faris, I Aljarah Applied Intelligence 48, 805-820, 2018 | 681 | 2018 |
An efficient binary salp swarm algorithm with crossover scheme for feature selection problems H Faris, MM Mafarja, AA Heidari, I Aljarah, AZ Ala’m, S Mirjalili, H Fujita Knowledge-Based Systems 154, 43-67, 2018 | 607 | 2018 |
Evolutionary population dynamics and grasshopper optimization approaches for feature selection problems M Mafarja, I Aljarah, AA Heidari, AI Hammouri, H Faris, AZ Ala’M, ... Knowledge-Based Systems 145, 25-45, 2018 | 415 | 2018 |
Binary grasshopper optimisation algorithm approaches for feature selection problems M Mafarja, I Aljarah, H Faris, AI Hammouri, AZ Ala’M, S Mirjalili Expert Systems with Applications 117, 267-286, 2019 | 400 | 2019 |
Mining educational data to predict student’s academic performance using ensemble methods EA Amrieh, T Hamtini, I Aljarah International journal of database theory and application 9 (8), 119-136, 2016 | 375 | 2016 |
Binary dragonfly optimization for feature selection using time-varying transfer functions M Mafarja, I Aljarah, AA Heidari, H Faris, P Fournier-Viger, X Li, S Mirjalili Knowledge-Based Systems 161, 185-204, 2018 | 372 | 2018 |
An efficient hybrid multilayer perceptron neural network with grasshopper optimization AA Heidari, H Faris, I Aljarah, S Mirjalili Soft Computing 23, 7941-7958, 2019 | 292 | 2019 |
An intelligent system for spam detection and identification of the most relevant features based on evolutionary random weight networks H Faris, AZ Ala’M, AA Heidari, I Aljarah, M Mafarja, MA Hassonah, ... Information Fusion 48, 67-83, 2019 | 274 | 2019 |
Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm I Aljarah, AM Al-Zoubi, H Faris, MA Hassonah, S Mirjalili, H Saadeh Cognitive Computation 10, 478-495, 2018 | 250 | 2018 |
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis M Tubishat, MAM Abushariah, N Idris, I Aljarah Applied Intelligence 49, 1688-1707, 2019 | 246 | 2019 |
A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture H Faris, MA Hassonah, AZ Ala’M, S Mirjalili, I Aljarah Neural Computing and Applications, 1-15, 2017 | 245 | 2017 |
Training feedforward neural networks using multi-verse optimizer for binary classification problems H Faris, I Aljarah, S Mirjalili Applied Intelligence 45, 322-332, 2016 | 236 | 2016 |
An evolutionary gravitational search-based feature selection M Taradeh, M Mafarja, AA Heidari, H Faris, I Aljarah, S Mirjalili, H Fujita Information Sciences 497, 219-239, 2019 | 215 | 2019 |
Asynchronous Accelerating Multi-leader Salp Chains for Feature Selection I Aljarah, M Mafarja, AA Heidari, H Faris, Y Zhang, S Mirjalili Applied Soft Computing, 2018 | 202 | 2018 |
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection A Al Shorman, H Faris, I Aljarah Journal of Ambient Intelligence and Humanized Computing 11 (7), 2809-2825, 2020 | 198 | 2020 |
Ant lion optimizer: theory, literature review, and application in multi-layer perceptron neural networks AA Heidari, H Faris, S Mirjalili, I Aljarah, M Mafarja Nature-Inspired Optimizers: Theories, Literature Reviews and Applications, 23-46, 2020 | 179 | 2020 |
Evolving radial basis function networks using moth–flame optimizer H Faris, I Aljarah, S Mirjalili Handbook of neural computation, 537-550, 2017 | 172* | 2017 |