Ali Asghar Heidari

verfied profile

Ali Asghar Heidari (http://aliasgharheidari.com), an exceptionally talented researcher at the School of Computing, National University of Singapore (NUS), is an exceptionally talented Ph.D. at the University of Tehran, and he is awarded and recognized by Iran’s National Elites Foundation (INEF). He has been recognized by (publons.com/a/1397783) as the top 1% peer reviewers in computer science and cross-field (http://aliasgharheidari.com). He contributes to advanced AI algorithms and machine learning methods published/under review in the best Q1 journals with prof. H Fujita at Iwate Prefectural Japan, prof. Xiaodong Li at RMIT, Dr. Seyedali Mirjalili at Griffith, prof. P. Fournier-Viger at Harbin Institute of Tech., prof. Faris and prof. Aljarah at the University of Jordan, prof. Hui-Ling Chen, prof. Mafarja, prof. Zhang, and prof. Oliva. His research focuses specifically on Advanced Machine Learning, Evolutionary Computation, Optimization, Prediction, Information Systems, and Mathematical Modelling. He has authored more than 60 journal articles with over 2700 citations (i10-index of 43, H-index of 27) and over 67000 readers in prestigious international journals such as Information Fusion, Information Sciences, Future Generation Computer Systems, Renewable, and Sustainable Energy Reviews, Journal of Cleaner Production, Energy, Energy Conversion and Management, Applied Soft Computing, Knowledge-Based Systems, IEEE Access, and Expert Systems with Applications. Heidari also serves as an active ad hoc reviewer for ASOC, KNOSYS, Inf Sci, ECM, IJGIS, etc (see: publons.com/a/1397783). For More info and guidance, please refer to http://aliasgharheidari.com.

Ali Asghar Heidari

Parameters extraction of three diode photovoltaic models using boosted LSHADE algorithm and Newton Raphson method

Towards Augmented Kernel Extreme Learning Models for Bankruptcy Prediction: Algorithmic Behavior and Comprehensive Analysis

Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy

Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies

Rationalized Fruit Fly Optimization with Sine Cosine Algorithm: A Comprehensive Analysis

A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems

An enhanced associative learning-based exploratory whale optimizer for global optimization

A Quantum-behaved Simulated Annealing Enhanced Moth-flame Optimization Method

Orthogonally adapted Harris Hawk Optimization for parameter estimation of photovoltaic models

Opposition-based Learning Harris Hawks Optimization with Advanced Transition Rules: Principles and Analysis

Boosted Hunting-based Fruit Fly Optimization and Advances in Real-world Problems

Exploratory Differential Ant Lion-based Optimization

Augmented whale feature selection for IoT attacks: Structure, analysis and applications

Orthogonal Learning Harmonizing Mutation-based Fruit Fly-inspired Optimizers

Advanced orthogonal moth flame optimization with Broyden–Fletcher–Goldfarb–Shanno algorithm: Framework and real-world problems

Prediction Optimization of Cervical Hyperextension Injury: Kernel Extreme Learning Machines With Orthogonal Learning Butterfly Optimizer and Broyden- Fletcher-Goldfarb-Shanno Algor

A Dynamic Locality Multi-Objective Salp Swarm Algorithm for Feature Selection

Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification

Ensemble Mutation-driven Salp Swarm Algorithm with Restart Mechanism: Framework and Fundamental Analysis

Multi-core sine cosine optimization: Methods and inclusive analysis

Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization with Support Vector Machines

Horizontal and vertical crossover of Harris hawk optimizer with Nelder-Mead simplex for parameter estimation of photovoltaic models

Evaluation of constraint in photovoltaic models by exploiting an enhanced ant lion optimizer

An Efficient Binary Salp Swarm Algorithm with Crossover Scheme for Feature Selection Problems

Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review

An Intelligent System for Spam Detection and Identification of the most Relevant Features based on Evolutionary Random Weight Networks

Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns

AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents

An efficient Harris hawks-inspired image segmentation method

Slime mould algorithm: A new method for stochastic optimization

Ant Colony Optimization with Horizontal and Vertical Crossover Search: Fundamental Visions for Multi-threshold Image Segmentation

Application of Machine Learning to Stomatology: A Comprehensive Review

Harris Hawks Optimization: Algorithm and Applications

Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis