Hossam Faris
Hossam Faris
Professor, The University of Jordan, Al Hussein Technical University
Verified email at ju.edu.jo - Homepage
Cited by
Cited by
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
S Mirjalili, AH Gandomi, SZ Mirjalili, S Saremi, H Faris, SM Mirjalili
Advances in Engineering Software 114, 163-191, 2017
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
Optimizing connection weights in neural networks using the whale optimization algorithm
I Aljarah, H Faris, S Mirjalili
Soft Computing 22 (1), 1-15, 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
Grey wolf optimizer: a review of recent variants and applications
H Faris, I Aljarah, MA Al-Betar, S Mirjalili
Neural computing and applications 30 (2), 413-435, 2018
Grasshopper optimization algorithm for multi-objective optimization problems
SZ Mirjalili, S Mirjalili, S Saremi, H Faris, I Aljarah
Applied Intelligence 48 (4), 805-820, 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
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
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
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
Training feedforward neural networks using multi-verse optimizer for binary classification problems
H Faris, I Aljarah, S Mirjalili
Applied Intelligence 45 (2), 322-332, 2016
An efficient hybrid multilayer perceptron neural network with grasshopper optimization
AA Heidari, H Faris, I Aljarah, S Mirjalili
Soft Computing 23 (17), 7941-7958, 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
Simultaneous feature selection and support vector machine optimization using the grasshopper optimization algorithm
I Aljarah, AZ Ala’M, H Faris, MA Hassonah, S Mirjalili, H Saadeh
Cognitive Computation 10 (3), 478-495, 2018
Asynchronous accelerating multi-leader salp chains for feature selection
I Aljarah, M Mafarja, AA Heidari, H Faris, Y Zhang, S Mirjalili
Applied Soft Computing 71, 964-979, 2018
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
A comparison between regression, artificial neural networks and support vector machines for predicting stock market index
AF Sheta, SEM Ahmed, H Faris
Soft Computing 7 (8), 2, 2015
Evolving support vector machines using whale optimization algorithm for spam profiles detection on online social networks in different lingual contexts
AZ Ala’M, H Faris, J Alqatawna, MA Hassonah
Knowledge-Based Systems 153, 91-104, 2018
Training radial basis function networks using biogeography-based optimizer
I Aljarah, H Faris, S Mirjalili, N Al-Madi
Neural Computing and Applications 29 (7), 529-553, 2018
Improved monarch butterfly optimization for unconstrained global search and neural network training
H Faris, I Aljarah, S Mirjalili
Applied Intelligence, 1-20, 2017
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