Ali Asghar Heidari
Ali Asghar Heidari
Exceptionally Talented Research Intern, School of Computing, National University of Singapore
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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
Slime mould algorithm: A new method for stochastic optimization
S Li, H Chen, M Wang, AA Heidari, S Mirjalili
Future Generation Computer Systems 111, 300-323, 2020
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
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
An efficient modified grey wolf optimizer with Lévy flight for optimization tasks
AA Heidari, P Pahlavani
Applied Soft Computing 60, 115-134, 2017
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
An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models
R Abbassi, A Abbassi, AA Heidari, S Mirjalili
Energy conversion and management 179, 362-372, 2019
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
H Chen, AA Heidari, H Chen, M Wang, Z Pan, AH Gandomi
Future Generation Computer Systems 111, 175-198, 2020
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
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
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks
Y Xu, H Chen, AA Heidari, J Luo, Q Zhang, X Zhao, C Li
Expert Systems with Applications 129, 135-155, 2019
An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
H Chen, S Jiao, AA Heidari, M Wang, X Chen, X Zhao
Energy Conversion and Management 195, 927-942, 2019
Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems
AA Heidari, RA Abbaspour, AR Jordehi
Applied Soft Computing 57, 657-671, 2017
Parameters identification of photovoltaic cells and modules using diversification-enriched Harris hawks optimization with chaotic drifts
H Chen, S Jiao, M Wang, AA Heidari, X Zhao
Journal of Cleaner Production 244, 118778, 2020
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 efficient chaotic water cycle algorithm for optimization tasks
AA Heidari, RA Abbaspour, AR Jordehi
Neural Computing and Applications 28 (1), 57-85, 2017
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
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy
D Zhao, L Liu, F Yu, AA Heidari, M Wang, G Liang, K Muhammad, H Chen
Knowledge-Based Systems 216, 106510, 2021
Towards augmented kernel extreme learning models for bankruptcy prediction: algorithmic behavior and comprehensive analysis
Y Zhang, R Liu, AA Heidari, X Wang, Y Chen, M Wang, H Chen
Neurocomputing 430, 185-212, 2021
Gaussian mutational chaotic fruit fly-built optimization and feature selection
X Zhang, Y Xu, C Yu, AA Heidari, S Li, H Chen, C Li
Expert Systems with Applications 141, 112976, 2020
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