Mingjing Wang

Orcid: 0009-0006-3399-2853

According to our database1, Mingjing Wang authored at least 70 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
ACGRIME: adaptive chaotic Gaussian RIME optimizer for global optimization and feature selection.
Clust. Comput., February, 2025

2024
An improved scheduling with advantage actor-critic for Storm workloads.
Clust. Comput., December, 2024

Extracorporeal Closed-Loop Respiratory Regulation for Patients With Respiratory Difficulty Using a Soft Bionic Robot.
IEEE Trans. Biomed. Eng., October, 2024

Dynamics of a predator-prey fishery model with birth pulse, impulsive releasing and harvesting on prey.
J. Appl. Math. Comput., August, 2024

Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images.
Eng. Appl. Artif. Intell., 2024

Unsupervised domain adaptation based on feature and edge alignment for femur X-ray image segmentation.
Comput. Medical Imaging Graph., 2024

Enhancing drug-food interaction prediction with precision representations through multilevel self-supervised learning.
Comput. Biol. Medicine, 2024

Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis.
Artif. Intell. Medicine, 2024

2023
Multi-strategy enhanced kernel search optimization and its application in economic emission dispatch problems.
J. Comput. Des. Eng., December, 2023

A new population initialization of metaheuristic algorithms based on hybrid fuzzy rough set for high-dimensional gene data feature selection.
Comput. Biol. Medicine, November, 2023

High-Effectiveness and -Accuracy Difference Scheme Based on Nonuniform Grids for Solving Convection-Diffusion Equations with Boundary Layers.
Axioms, November, 2023

Secure Transmission in Integrated Communication-Radar Systems.
IEEE Syst. J., September, 2023

Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition.
Expert Syst. Appl., April, 2023

A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data.
Appl. Soft Comput., March, 2023

An incremental learning evolutionary algorithm for many-objective optimization with irregular Pareto fronts.
Inf. Sci., 2023

An Objective Reduction Evolutionary Multiobjective Algorithm using Adaptive Density-Based Clustering for Many-objective Optimization Problem.
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023

2022
Multi-Strategy Learning Boosted Colony Predation Algorithm for Photovoltaic Model Parameter Identification.
Sensors, 2022

Fireworks explosion boosted Harris Hawks optimization for numerical optimization: Case of classifying the severity of COVID-19.
Frontiers Neuroinformatics, 2022

A multi-strategy enhanced salp swarm algorithm for global optimization.
Eng. Comput., 2022

Chaotic oppositional sine-cosine method for solving global optimization problems.
Eng. Comput., 2022

Levy-based antlion-inspired optimizers with orthogonal learning scheme.
Eng. Comput., 2022

Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm.
Expert Syst. Appl., 2022

Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines.
Comput. Biol. Medicine, 2022

An enhance multimodal multiobjective optimization genetic algorithm with special crowding distance for pulmonary hypertension feature selection.
Comput. Biol. Medicine, 2022

An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
Comput. Biol. Medicine, 2022

2021
Dealing with multi-modality using synthesis of Moth-flame optimizer with sine cosine mechanisms.
Math. Comput. Simul., 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

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection.
Knowl. Based Syst., 2021

A bioinformatic variant fruit fly optimizer for tackling optimization problems.
Knowl. Based Syst., 2021

Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis.
Neurocomputing, 2021

Multi-core sine cosine optimization: Methods and inclusive analysis.
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

Chaos-assisted multi-population salp swarm algorithms: Framework and case studies.
Expert Syst. Appl., 2021

Improved Butterfly Optimizer-Configured Extreme Learning Machine for Fault Diagnosis.
Complex., 2021

Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification.
Complex., 2021

Spiral Motion Enhanced Elite Whale Optimizer for Global Tasks.
Complex., 2021

Diagnosing Coronavirus Disease 2019 (COVID-19): Efficient Harris Hawks-Inspired Fuzzy K-Nearest Neighbor Prediction Methods.
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

Chaotic Arc Adaptive Grasshopper Optimization.
IEEE Access, 2021

2020
Predicting Coronary Atherosclerotic Heart Disease: An Extreme Learning Machine with Improved Salp Swarm Algorithm.
Symmetry, 2020

Quantum-like mutation-induced dragonfly-inspired optimization approach.
Math. Comput. Simul., 2020

Slime mould algorithm: A new method for stochastic optimization.
Future Gener. Comput. Syst., 2020

Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies.
Future Gener. Comput. Syst., 2020

Advanced orthogonal moth flame optimization with Broyden-Fletcher-Goldfarb-Shanno algorithm: Framework and real-world problems.
Expert Syst. Appl., 2020

Orthogonally-designed adapted grasshopper optimization: A comprehensive analysis.
Expert Syst. Appl., 2020

Exploratory differential ant lion-based optimization.
Expert Syst. Appl., 2020

Opposition-based learning Harris hawks optimization with advanced transition rules: principles and analysis.
Expert Syst. Appl., 2020

Boosted hunting-based fruit fly optimization and advances in real-world problems.
Expert Syst. Appl., 2020

Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis.
Expert Syst. Appl., 2020

Efficient multi-population outpost fruit fly-driven optimizers: Framework and advances in support vector machines.
Expert Syst. Appl., 2020

An Improved Grasshopper Optimizer for Global Tasks.
Complex., 2020

An Adaptive Chaotic Sine Cosine Algorithm for Constrained and Unconstrained Optimization.
Complex., 2020

An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme.
Complex., 2020

Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis.
Appl. Soft Comput., 2020

A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems.
Appl. Math. 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

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

Crow Search Algorithm: Theory, Recent Advances, and Applications.
IEEE Access, 2020

Rationalized Sine Cosine Optimization With Efficient Searching Patterns.
IEEE Access, 2020

2017
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.
Neurocomputing, 2017

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction.
Eng. Appl. Artif. Intell., 2017

2016
非下采样轮廓波域红外与可见光图像配准算法 (Image Registration Algorithm for Infrared and Visible Light Based on Non-subsampled Contourlet Transform).
计算机科学, 2016

An Improved Kernel Extreme Learning Machine for Bankruptcy Prediction.
Proceedings of the Fuzzy Systems and Data Mining II, 2016


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