一、个人简介
张志霞,女,博士,副教授,硕士生导师。现任职于太阳集团网tyc9728。
通讯地址:山西省太原市万柏林区西中环路66号9728太阳集团计算机学院复杂系统与计算智能实验室
邮箱:zhixiazhang@tyust.edu.cn
二、学习及工作简历
2026.01至今 太阳集团网tyc9728,副教授
2023.08-2025.12太阳集团网tyc9728,讲师
2020.09-2023.079728太阳集团控制科学与工程专业,工学博士(硕博连读);
2018.09-2020.07 9728太阳集团计算机科学与技术专业,硕士;
2014.09-2018.07 忻州师范学院计算机科学与技术,工学学士;
三、主讲课程
本科生:《离散数学》、《数据处理与智能决策》、《高级语言程序设计》;
研究生:《不确定优化技术》
四、代表性论文(*通讯作者)
[1] Zhixia Zhang, Yang Cao, Zhihua Cui, Wensheng Zhang, and Jinjun Chen, AMany-objective Optimization based Intelligent Intrusion Detection Algorithm for Enhancing Security of Vehicular Networks in 6G. IEEE Transactions on Vehicular Technology, 2021, 70(6):5234-5243.
[2] Zhihua Cui, Zhixia Zhang, Zhaoming Hu, Shaojin Geng, Jinjun Chen. A Many-objective Optimization based Intelligent High performance Data Processing Model for Cyber-Physical-Social Systems. IEEE Transactions on Network Science and Engineering. 2022, 9(6): 3825-3834.
[3] Zhihua Cui, Zhigang Zhang, Zhixia Zhang*, Wensheng Zhang, Jinjun Chen, MODSC: Many-Objective-Optimization-Driven Data-Balancing Strategy in Cross-Architectural Malware Classification for Extreme IoT. IEEE Internet of Things Journal, 2024, 11(3): 3702-3710.
[4] Zhixia Zhang, Mengkai Zhao, Hui Wang, Zhihua Cui, Wensheng Zhang. An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty. Information Science. 2022, 583:56-72.
[5] Zhixia Zhang, Xiangyu Shi, Zhigang Zhang, Zhihua Cui, Wensheng Zhang, Jinjun Chen, A many-objective evolutionary algorithm assisted by ideal hyperplane.Swarm and Evolutionary Computation, 2024,84: 101461.
[6] Zhixia Zhang, Hui Wang, Wensheng Zhang, Zhihua Cui, Cooperative-competitive two-stage game mechanism assisted many-objective evolutionary algorithm。Information Sciences,2023, 647:119559.
[7] Zhixia Zhang, Liping Xie, A many-objective integrated evolutionary algorithm for feature selection in anomaly detection, Concurrency and Computation: Practice and Experience, 2020,32(22): e5861.
[8] Zhixia Zhang, Jie Wen, Jiangjiang Zhang, Xingjuan Cai and Liping Xie, A Many Objective-Based Feature Selection Model for Anomaly Detection in Cloud Environment, IEEE Access, 2020,8:60218-60231.
[9] XingjuanCai, JinliLi, JinlongMa, Zhixia Zhang, QingyuanXu, Wensheng Zhang and Jinjun Chen, Interval many-objective evolutionary algorithm guided by dynamic dual-sequence mechanism, Swarm and Evolutionary Computation, 2025, 94: 101870.
[10] ZichenWei, HuiWang, ShuaiWang, Zhixia Zhang, Zhihua Cui, Feng Wang, Hu Peng and Jia Zhao, Many-objective evolutionary algorithm based on parallel distance for handling irregular Pareto fronts,Swarm and Evolutionary Computation, 2024, 86: 101539.
[11] ZhihuaCui, ConghongQu, ZhixiaZhang, Yaqing Jin, Jianghui Cai, Wensheng Zhang and Jinjun Chen, An adaptive interval many-objective evolutionary algorithm with information entropy dominance, Swarm and Evolutionary Computation, 2024, 91: 101749.
[12]ZhixiaZhang, JieWen, XingjuanCai and Zhihua Cui, A many‐objective optimization algorithm with dual criteria and mixed distribution correction strategy, Concurrency and Computation: Practice and Experience, 2023, 35(21): e7704.
[13] JieWen, JingboZhang, ZhixiaZhang, Zhihua Cui, Xingjuan Cai and Jinjun Chen, Resource-aware multi-criteria vehicle participation for federated learning in Internet of vehicles, Information Sciences, 2024, 664: 120344.
[14] ZhihuaCui, JieWen, YangLan, Zhixia Zhang and Jianghui Cai, Communication-efficient federated recommendation model based on many-objective evolutionary algorithm, Expert Systems with Applications, 2022, 201: 116963.
[15] Jialei Xu, Zhixia Zhang, Zhaoming Hu, Lei Du, Xingjuan Cai, A many-objective optimized task allocation scheduling model in cloud computing, Applied Intelligence, 2020,51(6): 3293-3310.
[16] Zhihua Cui, Jie Wen, Yang Lan, Zhixia Zhang, Jianghui Cai. Communication-efficient federated recommendation model based on many-objective evolutionary algorithm. Expert Systems with Applications. 2022,201: 116963.
[17] Xingjuan Cai, Yan Lang, Zhixia Zhang, Jie Wen, Zhihua Cui, Wensheng Zhang. A Many-Objective Optimization Based Federal Deep Generation Model for Enhancing Data Processing Capability in IoT. IEEE Transactions on Industrial Informatics. 2023,19(1):561-569.
[18] 张志霞,张志刚,王晖,崔志华,张文生,一种双空间多性能平衡函数引导的区间高维多目标进化算法,小型微型计算机系统,2025,46(7): 1625-1637.
[19] 蔡星娟,胡钊鸣,王茜,张志霞,崔志华,张文生,基于高维多目标优化的多无人机协同航迹规划,中国科学:信息科学(中文版),2020,doi: 10.1360/SSI-2020-0218.
五、承担科研项目
[1]山西省基础研究计划项目,含不确定参数的高维多目标优化方法研究(No. 202403021222211),2023-12-31至2026-12-31,主持。
[2]山西省高等学校科技项目,面向复杂不确定多目标优化问题的区间进化方法研究(No. 2023L177), 2025-01-01至2027-12-01,主持。
[3]9728太阳集团博士启动基金,区间超多目标进化方法研究(No. 20242045),2023-08-01至2025-08-01,主持。
[4]山西省来晋科技计划项目,区间参数高维多目标进化方法研究(No. 2023087),2023-08-30至2026-08-30,主持。
六、专著
张志霞著,区间高维多目标进化算法,电子工业出版书,2025.