周鑫森  考取吉林大学博士 MDM&CI Group 学院：温州大学计算机与人工智能学院 学校：温州大学，中国，温州 地址: 中国，浙江，温州茶山大学城 邮箱: 1586795091@qq.com

个人简介

目前我是一名21级计算机科学与技术专业的硕士研究生，就读于温州大学计算机与人工智能学院。同时我也是陈慧灵教授领导下的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群智能优化算法，数据挖掘，机器学习。
主要有对群智能优化算法进行改进，特征选择。

奖项和荣誉

无

发表论文

• Zhou X, Zhong C, Liu Y, Lin Y, Fu Y, Heidari A A, Chen Y, Chen H, Ouyang J, Wu P. Advancing Predictive Modeling of LPS-Induced Acute Lung Injury: A Machine Learning Model for Success Rate Prediction. Applied Soft Computing, 2025.
• Zhou X, Heidari A A, Chen Y, Chen H, Yu S. Balancing exploration and exploitation in moth-flame optimization for global optimization and feature selection. Knowledge and Information Systems, 2025.
• Zhou X, Xing J, Gui W, Heidari A A, Cai Z, Chen H, Liang G. Covariance Matrix Adaptation Driven Dynamic Multi-population Colony Predation Optimizer: Insights, Qualitative Analysis, and Constrained Engineering Optimization. Applied Soft Computing, 2025.
• Zhou X, Chen Y, Heidari A A, Chen H, Chen X. Rough hypervolume-driven feature selection with groupwise intelligent sampling for detecting clinical characterization of lupus nephritis. Artificial Intelligence in Medicine, 2024.
• Zhou X, Chen Y, Gui W, Heidari A A, Cai Z, Wang M, Chen H, Li C. Enhanced differential evolution algorithm for feature selection in tuberculous pleural effusion clinical characteristics analysis. Artificial Intelligence in Medicine, 2024.
• Zhou X, Chen Y, Wu Z, Heidari A A, Chen H, Alabdulkreem E, Gutierrez J E, Wang X. Boosted local dimensional mutation and all-dimensional neighborhood slime mould algorithm for feature selection. Neurocomputing, 2023.
• Zhou X, Gui W, Heidari A A, Cai Z, Liang G, Chen H. Random following ant colony optimization: Continuous and binary variants for global optimization and feature selection. Applied Soft Computing, 2023.
• Xing J, Zhou X, Zhao H, Chen H, Heidari A A. Elite levy spreading differential evolution via ABC shrink-wrap for multi-threshold segmentation of breast cancer images. Biomedical Signal Processing and Control, 2023, 82: 104592.
• Zhou X, Gui W, Heidari A A, Cai Z, Elmannai H, Hamdi M, Liang G, Chen H. Advanced Orthogonal Learning and Gaussian Barebone Hunger Games for Engineering Design. Journal of Computational Design and Engineering, 2022.

科研项目

• 面向医学数据分类的多目标特征选择方法研究. 2023年温州大学研究生创新基金(自筹), 主持.