Ali Asghar Heidari
Orcid: 0000-0001-6938-9948
According to our database1,
Ali Asghar Heidari
authored at least 181 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Advancing gene feature selection: Comprehensive learning modified hunger games search for high-dimensional data.
Biomed. Signal Process. Control., January, 2024
Performance optimization of hunger games search for multi-threshold COVID-19 image segmentation.
Multim. Tools Appl., 2024
Reinforced covariance weighted mean of vectors optimizer: insight, diversity, deep analysis and feature selection.
Appl. Intell., 2024
2023
Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems.
J. Comput. Des. Eng., December, 2023
Multi-threshold remote sensing image segmentation with improved ant colony optimizer with salp foraging.
J. Comput. Des. Eng., November, 2023
An Enhanced RIME Optimizer with Horizontal and Vertical Crossover for Discriminating Microseismic and Blasting Signals in Deep Mines.
Sensors, October, 2023
OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection.
Appl. Soft Comput., October, 2023
Dimensional decision covariance colony predation algorithm: global optimization and high-dimensional feature selection.
Artif. Intell. Rev., October, 2023
Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection.
Neurocomputing, September, 2023
Dynamic mechanism-assisted artificial bee colony optimization for image segmentation of COVID-19 chest X-ray.
Displays, September, 2023
Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images.
Biomed. Signal Process. Control., September, 2023
A solution to the stagnation of multi-verse optimization: An efficient method for breast cancer pathologic images segmentation.
Biomed. Signal Process. Control., September, 2023
Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection.
Appl. Soft Comput., September, 2023
Gaussian bare-bone slime mould algorithm: performance optimization and case studies on truss structures.
Artif. Intell. Rev., September, 2023
Multi-threshold image segmentation based on an improved differential evolution: Case study of thyroid papillary carcinoma.
Biomed. Signal Process. Control., August, 2023
Sine cosine algorithm with communication and quality enhancement: Performance design for engineering problems.
J. Comput. Des. Eng., July, 2023
Gaussian similarity-based adaptive dynamic label assignment for tiny object detection.
Neurocomputing, July, 2023
Eres-UNet++: Liver CT image segmentation based on high-efficiency channel attention and Res-UNet++.
Comput. Biol. Medicine, May, 2023
Multi-strategy ant colony optimization for multi-level image segmentation: Case study of melanoma.
Biomed. Signal Process. Control., May, 2023
Whale optimization with random contraction and Rosenbrock method for COVID-19 disease prediction.
Biomed. Signal Process. Control., May, 2023
Elite levy spreading differential evolution via ABC shrink-wrap for multi-threshold segmentation of breast cancer images.
Biomed. Signal Process. Control., April, 2023
Image segmentation of Intracerebral hemorrhage patients based on enhanced hunger Games search Optimizer.
Biomed. Signal Process. Control., April, 2023
Cauchy mutation boosted Harris hawk algorithm: optimal performance design and engineering applications.
J. Comput. Des. Eng., March, 2023
Salp swarm algorithm with iterative mapping and local escaping for multi-level threshold image segmentation: a skin cancer dermoscopic case study.
J. Comput. Des. Eng., March, 2023
An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentation.
Frontiers Neuroinformatics, March, 2023
An enhanced deep deterministic policy gradient algorithm for intelligent control of robotic arms.
Frontiers Neuroinformatics, March, 2023
A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data.
Appl. Soft Comput., March, 2023
ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans.
Comput. Biol. Medicine, February, 2023
A horizontal and vertical crossover cuckoo search: optimizing performance for the engineering problems.
J. Comput. Des. Eng., January, 2023
Neurocomputing, 2023
Unsupervised domain adaptation via style adaptation and boundary enhancement for medical semantic segmentation.
Neurocomputing, 2023
Accurate iris segmentation and recognition using an end-to-end unified framework based on MADNet and DSANet.
Neurocomputing, 2023
Differential evolution-assisted salp swarm algorithm with chaotic structure for real-world problems.
Eng. Comput., 2023
Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method.
Eng. Comput., 2023
Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19.
Expert Syst. Appl., 2023
An adaptive quadratic interpolation and rounding mechanism sine cosine algorithm with application to constrained engineering optimization problems.
Expert Syst. Appl., 2023
Enhanced Gaussian bare-bones grasshopper optimization: Mitigating the performance concerns for feature selection.
Expert Syst. Appl., 2023
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution.
Biomed. Signal Process. Control., 2023
Performance optimization of water cycle algorithm for multilevel lupus nephritis image segmentation.
Biomed. Signal Process. Control., 2023
2022
Spiral Gaussian mutation sine cosine algorithm: Framework and comprehensive performance optimization.
Expert Syst. Appl., December, 2022
A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China.
Frontiers Neuroinformatics, August, 2022
AI-Assisted Edge Vision for Violence Detection in IoT-Based Industrial Surveillance Networks.
IEEE Trans. Ind. Informatics, 2022
Multim. Tools Appl., 2022
Knowl. Based Syst., 2022
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection.
Knowl. Based Syst., 2022
A machine learning framework for identifying influenza pneumonia from bacterial pneumonia for medical decision making.
J. Comput. Sci., 2022
Analysis of COVID-19 severity from the perspective of coagulation index using evolutionary machine learning with enhanced brain storm optimization.
J. King Saud Univ. Comput. Inf. Sci., 2022
Advanced orthogonal learning and Gaussian barebone hunger games for engineering design.
J. Comput. Des. Eng., 2022
Opposition-based ant colony optimization with all-dimension neighborhood search for engineering design.
J. Comput. Des. Eng., 2022
Laplace crossover and random replacement strategy boosted Harris hawks optimization: performance optimization and analysis.
J. Comput. Des. Eng., 2022
Performance optimization of annealing salp swarm algorithm: frameworks and applications for engineering design.
J. Comput. Des. Eng., 2022
Individual disturbance and neighborhood mutation search enhanced whale optimization: performance design for engineering problems.
J. Comput. Des. Eng., 2022
Directional crossover slime mould algorithm with adaptive Lévy diversity for the optimal design of real-world problems.
J. Comput. Des. Eng., 2022
Directional mutation and crossover for immature performance of whale algorithm with application to engineering optimization.
J. Comput. Des. Eng., 2022
Horizontal and vertical crossover of sine cosine algorithm with quick moves for optimization and feature selection.
J. Comput. Des. Eng., 2022
Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities.
IEEE Internet Things J., 2022
Enhancing Secrecy Performance of Cooperative NOMA-Based IoT Networks via Multiantenna-Aided Artificial Noise.
IEEE Internet Things J., 2022
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection.
Neurocomputing, 2022
Gaussian bare-bones gradient-based optimization: Towards mitigating the performance concerns.
Int. J. Intell. Syst., 2022
Chaotic diffusion-limited aggregation enhanced grey wolf optimizer: Insights, analysis, binarization, and feature selection.
Int. J. Intell. Syst., 2022
Multi-threshold image segmentation for melanoma based on Kapur's entropy using enhanced ant colony optimization.
Frontiers Neuroinformatics, 2022
Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19.
Frontiers Neuroinformatics, 2022
Detection of pulmonary embolism severity using clinical characteristics, hematological indices, and machine learning techniques.
Frontiers Neuroinformatics, 2022
bSRWPSO-FKNN: A boosted PSO with fuzzy K-nearest neighbor classifier for predicting atopic dermatitis disease.
Frontiers Neuroinformatics, 2022
Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data.
Future Gener. Comput. Syst., 2022
An enhanced Cauchy mutation grasshopper optimization with trigonometric substitution: engineering design and feature selection.
Eng. Comput., 2022
Multi-strategy Gaussian Harris hawks optimization for fatigue life of tapered roller bearings.
Eng. Comput., 2022
Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm.
Expert Syst. Appl., 2022
Expert Syst. Appl., 2022
Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm.
Eng. Appl. Artif. Intell., 2022
Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction.
Eng. Appl. Artif. Intell., 2022
Comput. Electron. Agric., 2022
Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition.
Comput. Biol. Medicine, 2022
An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders.
Comput. Biol. Medicine, 2022
Evolving kernel extreme learning machine for medical diagnosis via a disperse foraging sine cosine algorithm.
Comput. Biol. Medicine, 2022
Performance optimization of support vector machine with oppositional grasshopper optimization for acute appendicitis diagnosis.
Comput. Biol. Medicine, 2022
Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines.
Comput. Biol. Medicine, 2022
Horizontal and vertical search artificial bee colony for image segmentation of COVID-19 X-ray images.
Comput. Biol. Medicine, 2022
Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization.
Comput. Biol. Medicine, 2022
An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
Comput. Biol. Medicine, 2022
An efficient rotational direction heap-based optimization with orthogonal structure for medical diagnosis.
Comput. Biol. Medicine, 2022
Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine.
Comput. Biol. Medicine, 2022
Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 2022
An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images.
Comput. Biol. Medicine, 2022
2021
Correction to: Evolutionary competitive swarm exploring optimal support vector machines and feature weighting.
Soft Comput., 2021
Evolutionary competitive swarm exploring optimal support vector machines and feature weighting.
Soft Comput., 2021
AutoRWN: automatic construction and training of random weight networks using competitive swarm of agents.
Neural Comput. Appl., 2021
Harris hawks optimization: a comprehensive review of recent variants and applications.
Neural Comput. Appl., 2021
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy.
Knowl. Based Syst., 2021
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance.
Knowl. Based Syst., 2021
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns.
Knowl. Based Syst., 2021
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis.
Knowl. Based Syst., 2021
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection.
Knowl. Based Syst., 2021
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem.
Knowl. Based Syst., 2021
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis.
Neurocomputing, 2021
Expert Syst. Appl., 2021
Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation.
Expert Syst. Appl., 2021
Ensemble mutation-driven salp swarm algorithm with restart mechanism: Framework and fundamental analysis.
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts.
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Expert Syst. Appl., 2021
Memetic Harris Hawks Optimization: Developments and perspectives on project scheduling and QoS-aware web service composition.
Expert Syst. Appl., 2021
Elitist non-dominated sorting Harris hawks optimization: Framework and developments for multi-objective problems.
Expert Syst. Appl., 2021
RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method.
Expert Syst. Appl., 2021
Multilevel threshold image segmentation with diffusion association slime mould algorithm and Renyi's entropy for chronic obstructive pulmonary disease.
Comput. Biol. Medicine, 2021
Performance optimization of salp swarm algorithm for multi-threshold image segmentation: Comprehensive study of breast cancer microscopy.
Comput. Biol. Medicine, 2021
Gaussian Barebone Salp Swarm Algorithm with Stochastic Fractal Search for medical image segmentation: A COVID-19 case study.
Comput. Biol. Medicine, 2021
Evolving fuzzy k-nearest neighbors using an enhanced sine cosine algorithm: Case study of lupus nephritis.
Comput. Biol. Medicine, 2021
Evolutionary warning system for COVID-19 severity: Colony predation algorithm enhanced extreme learning machine.
Comput. Biol. Medicine, 2021
Performance optimization of differential evolution with slime mould algorithm for multilevel breast cancer image segmentation.
Comput. Biol. Medicine, 2021
Ant colony optimization with Cauchy and greedy Levy mutations for multilevel COVID 19 X-ray image segmentation.
Comput. Biol. Medicine, 2021
IEEE Access, 2021
Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods.
IEEE Access, 2021
IEEE Access, 2021
An Effective Machine Learning Approach for Identifying Non-Severe and Severe Coronavirus Disease 2019 Patients in a Rural Chinese Population: The Wenzhou Retrospective Study.
IEEE Access, 2021
A Principal Component Analysis-Boosted Dynamic Gaussian Mixture Clustering Model for Ignition Factors of Brazil's Rainforests.
IEEE Access, 2021
Early Recognition and Discrimination of COVID-19 Severity Using Slime Mould Support Vector Machine for Medical Decision-Making.
IEEE Access, 2021
IEEE Access, 2021
A Robust Multi-Objective Feature Selection Model Based on Local Neighborhood Multi-Verse Optimization.
IEEE Access, 2021
2020
An enhanced associative learning-based exploratory whale optimizer for global optimization.
Neural Comput. Appl., 2020
Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification.
Neural Comput. Appl., 2020
Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis.
Knowl. Based Syst., 2020
Clustering analysis using a novel locality-informed grey wolf-inspired clustering approach.
Knowl. Inf. Syst., 2020
Augmented whale feature selection for IoT attacks: Structure, analysis and applications.
Future Gener. Comput. Syst., 2020
Future Gener. Comput. Syst., 2020
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies.
Future Gener. Comput. Syst., 2020
Expert Syst. Appl., 2020
Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis.
Expert Syst. Appl., 2020
Time-varying hierarchical chains of salps with random weight networks for feature selection.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis.
Expert Syst. Appl., 2020
Expert Syst. Appl., 2020
Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines.
Expert Syst. Appl., 2020
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies.
Expert Syst. Appl., 2020
Cogn. Comput., 2020
Comput. Ind. Eng., 2020
A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems.
Appl. Soft Comput., 2020
Evaluation of Sino Foreign Cooperative Education Project Using Orthogonal Sine Cosine Optimized Kernel Extreme Learning Machine.
IEEE Access, 2020
Predicting Entrepreneurial Intention of Students: An Extreme Learning Machine With Gaussian Barebone Harris Hawks Optimizer.
IEEE Access, 2020
Predicting Green Consumption Behaviors of Students Using Efficient Firefly Grey Wolf-Assisted K-Nearest Neighbor Classifiers.
IEEE Access, 2020
IEEE Access, 2020
Predicting Di-2-Ethylhexyl Phthalate Toxicity: Hybrid Integrated Harris Hawks Optimization With Support Vector Machines.
IEEE Access, 2020
Predicting Cervical Hyperextension Injury: A Covariance Guided Sine Cosine Support Vector Machine.
IEEE Access, 2020
Prediction Optimization of Cervical Hyperextension Injury: Kernel Extreme Learning Machines With Orthogonal Learning Butterfly Optimizer and Broyden- Fletcher-Goldfarb-Shanno Algorithms.
IEEE Access, 2020
IEEE Access, 2020
2019
Grey Wolf Optimizer: Theory, Literature Review, and Application in Computational Fluid Dynamics Problems.
Proceedings of the Nature-Inspired Optimizers, 2019
Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection.
Proceedings of the Nature-Inspired Optimizers, 2019
Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Networks.
Proceedings of the Nature-Inspired Optimizers, 2019
Salp Swarm Algorithm: Theory, Literature Review, and Application in Extreme Learning Machines.
Proceedings of the Nature-Inspired Optimizers, 2019
Multi-verse Optimizer: Theory, Literature Review, and Application in Data Clustering.
Proceedings of the Nature-Inspired Optimizers, 2019
An efficient hybrid multilayer perceptron neural network with grasshopper optimization.
Soft Comput., 2019
An intelligent system for spam detection and identification of the most relevant features based on evolutionary Random Weight Networks.
Inf. Fusion, 2019
Future Gener. Comput. Syst., 2019
An efficient chaotic mutative moth-flame-inspired optimizer for global optimization tasks.
Expert Syst. Appl., 2019
Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training.
Appl. Soft Comput., 2019
IEEE Access, 2019
Predicting Intentions of Students for Master Programs Using a Chaos-Induced Sine Cosine-Based Fuzzy K-Nearest Neighbor Classifier.
IEEE Access, 2019
2018
Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems.
Knowl. Based Syst., 2018
Binary dragonfly optimization for feature selection using time-varying transfer functions.
Knowl. Based Syst., 2018
An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems.
Knowl. Based Syst., 2018
Appl. Soft Comput., 2018
2017
Neural Comput. Appl., 2017
Appl. Soft Comput., 2017
Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems.
Appl. Soft Comput., 2017