Takip et
Hossam Faris
Hossam Faris
Professor, The University of Jordan
ju.edu.jo üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
53122019
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
49122017
Grey wolf optimizer: a review of recent variants and applications
H Faris, I Aljarah, MA Al-Betar, S Mirjalili
Neural computing and applications 30, 413-435, 2018
10282018
Optimizing connection weights in neural networks using the whale optimization algorithm
I Aljarah, H Faris, S Mirjalili
Soft Computing 22, 1-15, 2018
7882018
Grasshopper optimization algorithm for multi-objective optimization problems
SZ Mirjalili, S Mirjalili, S Saremi, H Faris, I Aljarah
Applied Intelligence 48, 805-820, 2018
7642018
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
6592018
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
4302018
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
4252019
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
3942018
An efficient hybrid multilayer perceptron neural network with grasshopper optimization
AA Heidari, H Faris, I Aljarah, S Mirjalili
Soft Computing 23, 7941-7958, 2019
3212019
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
3012019
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
2632018
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
2622017
Genetic algorithm: Theory, literature review, and application in image reconstruction
S Mirjalili, J Song Dong, AS Sadiq, H Faris
Nature-inspired optimizers: Theories, literature reviews and applications, 69-85, 2019
2612019
Training feedforward neural networks using multi-verse optimizer for binary classification problems
H Faris, I Aljarah, S Mirjalili
Applied Intelligence 45, 322-332, 2016
2562016
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
2392019
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
2302020
MTDE: An effective multi-trial vector-based differential evolution algorithm and its applications for engineering design problems
MH Nadimi-Shahraki, S Taghian, S Mirjalili, H Faris
Applied Soft Computing 97, 106761, 2020
2262020
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
2092018
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
2082015
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20