个人简介
我是一名15级计算机软件与理论专业的硕士研究生,就读于温州大学计算机与人工智能学院。我的导师是陈慧灵教授,同时我也是MDM&CI实验室成员之一。 |
研究方向和兴趣
研究的方向和兴趣包括
高维多目标优化,
大规模多目标优化问题,
机器学习。
奖项和荣誉
- 2017年度研究生国家奖学金
- 2018年浙江省优秀毕业生
发表论文
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Wang M, Heidari A A, Chen H.
A multi-objective evolutionary algorithm with decomposition and the information feedback for high-dimensional medical data.
Applied Soft Computing, 2023, 136: 110102.
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Wang M, Li X, Chen L, Chen H.
Medical machine learning based on multiobjective evolutionary algorithm using learning decomposition.
Expert Systems with Applications, 2022.
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Wang M, Heidari A A, Chen H.
Fireworks Explosion boosted Harris Hawks Optimization for Numerical Optimization Case of Classifying the severity of COVID-19.
Frontiers in Neuroinformatics, 2022.
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Wang M, Chen L, Chen H.
Multi-Strategy Learning Boosted Colony Predation Algorithm for Photovoltaic Model Parameter Identification.
Sensors, 2022.
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Wang M, Zhou T, Lv S, Shi B, Chen S, Heidari A A, Huang X, Chen H, Wang L, Wu P.
An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
Computers in Biology and Medicine, 2022.
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Wang M, Liang Y, Hu Z, Chen S, Shi B, Heidari A A, Zhang Q, Chen H, Chen X.
Lupus nephritis diagnosis using enhanced moth flame algorithm with support vector machines.
Computers in Biology and Medicine, 2022.
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Wang M, Zhang Q, Chen H, Heidari A A, Mafarja M, Turabieh H.
Evaluation of constraint in photovoltaic cells using ensemble multi-strategy shuffled frog leading algorithms.
Energy Conversion and Management, 2021, 244: 114484.
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Wang M, Zhao X, Heidari A A, Chen H.
Evaluation of constraint in photovoltaic models by exploiting an enhanced ant lion optimizer.
Solar Energy, 2020, 211: 503-521.
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Wang M, Heidari A A, Chen M, Chen H, Zhao X, Cai X.
Exploratory Differential Ant Lion-based Optimization.
Expert Systems with Applications, 2020, 159: 113548.
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Wang, M,Chen H.
Chaotic multi-swarm whale optimizer boosted support vector machine for medical diagnosis.
Applied Soft Computing, 2020, 88: 105946.
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Chen H, Wang M*et al.
A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems.
Applied Mathematics and Computation, 2020, 369: 124872.
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Mingjing wang,Huiling Chen*et al.
Grey wolf optimization evolving kernel extreme learning machine: application to bankruptcy prediction.
Engineering Application of Artificial Intelligence, 2017, 63: 54-68. (SCI二区).
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Mingjing wang, Huiling Chen*, et al.
Towards anoptimal kernel extreme learningmachine using a chaotic moth-flame optimization strategy with applications in medical diagnoses.
Neurocomputing, 2017, 267: 69-84. (SCI二区).
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Mingjing wang, Huiling Chen*et al.
An improved kernel extreme learning machine for bankruptcy prediction.
Fuzzy Systems and Data Mining II, 2016, 293: 282-289. (EI检索).
科研项目
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面向机器学习智能决策系统的演化计算新方法研究和应用.
浙江省大学生新苗计划课题 ( 2017R426049,2017.03-2018.06),
主持.
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基于演化极限学习机疾病诊断方法研究.
温州大学研究生创新基金 ( 3162016028,2016.10-2018.6),
主持.