Ali Asghar Heidari
Ali Asghar Heidari
Exceptionally Talented Research Intern, School of Computing, National University of Singapore
Dirección de correo verificada de comp.nus.edu.sg - Página principal
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Año
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
3912019
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
2122018
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
1822018
An Efficient Modified Grey Wolf Optimizer with Lévy Flight for Optimization Tasks
AA Heidari, P Pahlavani
Applied Soft Computing 60, 115–134, 2017
1772017
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
1292018
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
1142019
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, 2018
1072018
An Efficient Chaotic Water Cycle Algorithm for Optimization Tasks
AA Heidari, RA Abbaspour, AR Jordehi
Neural Computing and Applications 28 (1), 57–85, 2017
962017
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
922018
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
922017
An efficient hybrid multilayer perceptron neural network with grasshopper optimization
AA Heidari, H Faris, I Aljarah, S Mirjalili
Soft Computing 23 (17), 7941–7958, 2018
872018
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
832019
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
712020
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
692019
Multi-strategy Boosted Mutative Whale-inspired Optimization Approaches
J Luo, H Chen, AA Heidari, Y Xu, Q Zhang, C Li
Applied Mathematical Modelling 73, 109-123, 2019
652019
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
592019
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
562020
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
482020
Chaos-induced and mutation-driven schemes boosting salp chains-inspired optimizers
Q Zhang, H Chen, AA Heidari, X Zhao, Y Xu, P Wang, Y Li, C Li
IEEE Access 7, 31243-31261, 2019
442019
An efficient double adaptive random spare reinforced whale optimization algorithm
H Chen, C Yang, AA Heidari, X Zhao
Expert Systems with Applications 154, 113018, 2020
392020
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Artículos 1–20