张志霞，博士，副教授，2023年博士毕业于太原科技大学电子信息工程学院，研究兴趣主要包括大数据仿真建模与智能优化，重点围绕多目标进化优化、资源分配、网络安全等问题开展学术研究，主持省级项目3项，校级项目1项，参与国家自然科学基金、山西省重点项目2项，在国内外知名学术期刊发表SCI 20余篇，包括《IEEE Transactions on Vehicular Technology》、《IEEE Transactions on Network Science and Engineering》、《Swarm and Evolutionary Computation》等期刊。出版专著1部，获批软件著作权5项。

通讯地址：山西省太原市万柏林区西中环路66号太原科技大学计算机学院复杂系统与计算智能实验室

邮编：030024

Email：zhixiazhang@tyust.edu.cn

一、学习及工作简历

2025.12至今太原科技大学计算机科学与技术学院，副教授

2023.08-2025.12太原科技大学计算机科学与技术学院，讲师

2020.09-2023.07太原科技大学控制科学与工程专业，工学博士（硕博连读）；

2018.09-2020.07 太原科技大学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；

二、主讲课程

本科生：《离散数学》、《数据处理与智能决策》；

研究生：《不确定优化技术》、《学术道德与学术规范》

三、发表论文

[1]Zhixia Zhang, Yang Cao, Zhihua Cui, Wensheng Zhang, and Jinjun Chen, A Many-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-objectiveOptimization 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,XingjuanCaiand 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 Zhangand 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.

四、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]太原科技大学博士启动基金，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。

五、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.

六、指导（含协助指导）研究生

已毕业研究生：

2021级：张志刚、靳雅清、史翔宇

2022级：马金龙、张绵、屈琮宏、李金丽

在读硕士生：

2023级：谢宗博

2024级：苏杭、郭晓安

2025级：吕绍聪、荆昕怡