一、个人简介

蔡星娟，女，太原科技大学计算机科学与技术学院教授、博士生导师，研究领域为优化调度、云计算、网络安全、大数据建模与优化、计算智能。现为EI期刊《International Journal of Innovative Computing and Applications》编委，作为特邀编辑主持出版了多个SCI特刊。

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：caixingjuan@tyust.edu.cn; xingjuancai@163.com

二、学习及工作简历

学习简历：

2011.9-2017.6同济大学电子与信息工程学院控制科学与工程专业，工学博士；

2005.9-2008.4太原科技大学计算机软件与理论专业，工学硕士；

1999.9-2003.7太原重型机械学院计算机科学与技术专业，工学学士；

工作简历：

2020-11至现在太原科技大学计算机学院，教授；

2015.11-2020-11 太原科技大学计算机学院，副教授；

2010.7-2015.11太原科技大学计算机学院，讲师；

三、荣誉及获奖

1. 2025年山西省自然科学一等奖（数据及行为驱动的智能协同建模理论与优化方法）；

2. 2024年Wiley China Excellent Author Program奖

3. 2023、2024年度全球高被引科学家

4. 2022年度上海市人工智能学会青年优秀论文

5. 2022年度《计算机应用研究》优秀审稿专家

6. 2019年山西省“三晋英才青年优秀人才”支持计划；

7. 2010年山西省自然科学二等奖（广义微粒群算法研究）；

8. 2008年山西省优秀硕士学位论文；

9.太原科技大学2008届优秀毕业研究生；

四、课程与教材

1)主讲课程：

本科生：离散数学、算法分析与设计

2) 教材

“高等学校本科计算机专业应用型人才培养研究”项目规划教材《Java编程基础和应用》，主编：强彦、赵娟娟 ，副主编：蔡星娟，高等教育出版社，2015.7。

五、威尼斯87978797学科

硕士研究生：计算机科学与技术一级学科

研究方向：计算智能

六、学术兼职：

1.国际期刊International Journal of Innovative Computing and Applications（EI收录）编委（http://www.inderscience.com/ijica）

2.国际期刊International Journal of Bio-inspired Computation特邀编辑（Xingjuan Cai and Uday K. Chakraborty）：Recent Advances on Differential Evolution，2010，2(3/4) , Inderscience. (SCI收录）

3. 国际期刊《Expert System with Applications》副主编

七、科研工作

长期从事智能优化算法相关方面研究，主持国家自然科学基金青年项目、山西省重点研发项目等国家及省部级科研项目十余项，在优化调度、云计算、网络安全、大数据建模与优化、计算智能等领域进行了大量理论及应用研究，发表SCI检索论文50余篇，SCI他引1605次，ESI高倍引论文13篇，SCI引用指数H-index为21，出版教材1部。相关工作发表在《IEEE Transactions on Industrial Informatics》、《IEEE Transactions on Services Computing》、《中国科学：信息科学》（中英文版）等国内外著名期刊。

1）近期主持的主要科研项目

[1]面向多能互补耦合供电系统的不确定性建模及时滞因果优化（编号：6257078079），国家自然科学基金面上项目，2026.01.01-2029.12.31，按计划进行。

[2]智慧物流仓储的四向穿梭车路径调度系统（编号：2025140006000456），横向，2025.7.1-2025.12.31，已结题。

[3]无线边缘联邦学习环境下客户端选择策略研究（编号：KFKT2022B18），计算机软件新技术国家重点实验室开放课题，2022.06-2024.05，已结题。

[4]云资源绿色容错调度方法研究（编号：201903D121119）,山西省重点研发计划项目（高新技术领域），2019.08-2021.07，已结题。

[5]煤矿绿色生产配置的高维多目标优化建模与集成求解（编号：61806138），国家自然科学基金青年科学基金项目，2019.01-2021.12，按计划进行。

[6]蝙蝠算法性能分析及其在压缩感知的应用（编号：201801D121127），山西省自然科学基金，2018.12-2020.12，已结题。

[7]动态环境下物流机器人任务分配关键问题研究（编号：BILSCIC-2019KF-06），北京市智能物流系统协同创新中心开放课题，2019.06-2021.06，已结题。

[8]个性化微粒群算法的理论及结构优化研究，山西省青年科学基金（编号：2009021017-2），2009.1-2011.12，已结题。

2）出版的专著及参编的章节

[1]蔡星娟，蝙蝠优化算法，电子工业出版社，2020年3月第一版。

[2]Zhihua Cui and Xingjuan Cai, Chapter 16: Artificial Plant Optimization Algorithm,in Swarm Intelligence and Bio-Inspired Computation: Theory and Applications, Edited by Xinshe Yang, Zhihua Cui, Renbin Xiao, Amir Hossein Gandomi, Mehmet Karamanoglu, Elsevier,pp.351-365,2013.

[3]Zhihua Cui, Xingjuan Cai, Ying Tan and Jianchao Zeng, Chapter: Integral-controlled particle swarm optimization, in Handbook of Swarm Intelligence-Concepts, Principles and Applications,Edited by Bijaya Ketan Panigrahi, Yuhui Shi, Meng-Hiot Lim,Springer,pp.175-200,2011.

[4]Xingjuan Cai, Zhihua Cui, Jianchao Zeng and Ying Tan, Chapter 5: Individual Parameter Selection Strategy for Particle Swarm Optimization, in Particle Swarm Optimization, Edited by Alexsandar Lazinica, I-Tech Education and Publishing, Vienna, Austria, pp.89-112, 2009.1.

3）近期发表的代表性论文

[1]Linjie Wu, Tianhao Zhao, Zeyu Wu, Xingjuan Cai, Zhihua Cui, Jinjun Chen,Many-objective multi-task evolutionary method for flexible order production scheduling,Expert Systems with Applications,Volume317,2026,131817,ISSN 0957- 4174.（SCI 1区）

[2]Jingbo Zhang, Xingjuan Cai, Zhihua Cui, Jinjun Chen,A physics-informed neural network surrogate model and many-objective optimization algorithm for coupled multi-energy systems in smart grids,Expert Systems with Applications,Volume 298, Part C,2026,129760,ISSN 0957-4174.（SCI 1区）

[3]Wu, Linjie, Tianhao Zhao, and Xingjuan Cai. "Interval Multi-Objective Multi-Task Production Scheduling Method for Manufacturing Uncertainty." International Journal of Software Engineering and Knowledge Engineering (2026): 1-18.

[4]Zhang, Jingbo, et al. "Multi-Energy Complementary Scheduling Based on Interval Many-Objective Optimization of Power Grid for Sustainable Cloud Computing Center." International Journal of Software Engineering and Knowledge Engineering 35.08 (2025): 1201-1217.

[5]Bohui Li, Bin Wang, Linjie Wu, Xingjuan Cai, Maoqing Zhang,A Joint Optimization Model for Device Selection and Power Allocation under Dynamic Uncertain Environments, Computers, Materials and Continua,Volume 86, Issue 2,2025,Pages 1-28,ISSN 1546-2218.  (SCI 4区)

[6]Wu L, Zhao T, Cai X, et al. Dynamic multi-objective optimization for uncertain order insertion green shop production scheduling[J]. Applied Soft Computing, 2025: 113573.（SCI 2区） 0.6人

[7]Zhang Q, Li B, Geng S, Cai X. A Multi‐Workflow Scheduling Approach With Explicit Evolutionary Multi‐Objective Multi‐Task Optimization Algorithm in Cloud Environment[J]. Concurrency and Computation: Practice and Experience, 2025, 37(1): e8337. (SCI 4区)  0.3人

[8]Cai X, Li J, Ma J, et al. Interval many-objective evolutionary algorithm guided by dynamic dual-sequence mechanism[J]. Swarm and Evolutionary Computation, 2025, 94: 101870.（SCI 2区） 0.6人

[9]Zhang J, Wen J, Cai X, et al. Multi-Energy Complementary Scheduling Based on Interval Many-Objective Optimization of Power Grid for Sustainable Cloud Computing Center[J]. International Journal of Software Engineering and Knowledge Engineering, 2025, 35(08): 1201-1217.  (SCI 4区) 0.3人

[10]Zhang J, Zhang Z, Cai X, et al. An interval evolutionary algorithm based on dynamic relation adjustment strategy for many-objective problems[J]. Swarm and Evolutionary Computation, 2025, 93.（SCI 2区） 0.6人

[11]X. Cai, C. Ji and T. Zhao, A Constrained Many-Objective Mobile Crowdsensing Task Allocation Method Considering Latent Workers, IEEE Internet of Things Journal, vol. 12, no. 4, pp. 4065-4077, 15 Feb.15, 2025（SCI 2区） 0.6人

[12]Xingjuan Cai, Yan Zhang, Mengxia Li, Linjie Wu, Wensheng Zhang, Jinjun Chen, Dynamic deadline constrained multi-objective workflow scheduling in multi-cloud environments,  Expert Systems with Applications, 2024, 258: 125168（SCI 1区）1人

[13]Rui Zheng, Linjie Wu, Xingjuan Cai, Yubin Xu, Explicable recommendation model based on a time‐assisted knowledge graph and many‐objective optimization algorithm, Concurrency and Computation: Practice and Experience, 2024, 36(21): e8210（SCI 4区）0.3人

[14]Xiaoxuan Li, Tianhao Zhao, Jie Wen, Xingjuan Cai, Many-objective emergency aided decision making based on knowledge graph, Applied Intelligence, 2024, 54(17): 7733-7749（SCI 3区）0.3人

[15]Xingjuan Cai, Chen Ji, Tianhao Zhao, "A Constrained Many-Objective Mobile Crowd Sensing Task Allocation Method Considering Latent Workers," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3481637.(SCI 2区)，0.6人

[16]Xingjuan Cai, Bohui Li, Linjie Wu, Teng Chang, Wensheng Zhang, Jinjun Chen,A dynamic interval multi-objective optimization algorithm based on environmental change detection, Information Sciences,Volume 694, 2025, 121690, ISSN 0020-0255, (SCI 2区) 0.6人。

[17]Yang J , Wen J , Zhao H ,Cai, J. , & Cai, X(蔡星娟)..Tensor joint framework enhanced by game-theoretic constrained optimization for skin cancer forecasting[J].Swarm and Evolutionary Computation, 2025:96.(SCI 2区) 0.6人

[18]Xingjuan Cai, Shaojin Geng, Jingbo Zhang, Di Wu, Zhihua Cui, Wensheng Zhang, Jinjun Chen, A Sharding Scheme based Many-objective Optimization Algorithm for Enhancing Security in Blockchain-enabled Industrial Internet of Things, IEEE Transactions on Industrial Informatics, 2021. DOI: 10.1109/TII.2021.3051607. (中科院1区, IF=9.112)

[19]Zhihua Cui, Fei Xue,Xingjuan Cai, Yang Cao, Gaige Wang,Jinjun Chen, Detectin of malicious code variants based on deep learning, IEEE Transactions on Industrial Informatics, 2018, 14(7): 3187-3196. (ESI高被引论文,中科院1区, IF=9.112)

[20]Zhihua Cui, Xianghua Xu, Fei Xue,Xingjuan Cai, Yang Cao, Wensheng Zhang, Jinjun Chen, Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios, IEEE Transactions on Services Computing, 2020, 13(4):685-695. (ESI高被引论文,中科院2区, IF= 5.823)

[21]Zhihua Cui, Fei Xue, Shiqiang Zhang,Xingjuan Cai, Yang Cao, Wensheng Zhang, Jinjun Chen, A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN, IEEE Transactions on Services Computing, 2020, 13(2): 241-251. (ESI高被引论文,中科院2区, IF= 5.823)

[22]Gai-Ge Wang,Xingjuan Cai, Zhihua Cui, Geyong Min, Jinjun Chen, High Performance Computing for Cyber Physical Social Systems by Using Evolutionary Multi-Objective Optimization Algorithm, IEEE Transactions on Emerging Topics in Computing, 2020, 8(1): 20-30.(ESI高被引论文,中科院2区, IF= 6.043)

[23]蔡星娟，胡钊鸣,张志霞,等,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, 2021, 51: 985–996. (CCF中文A类、中国科技期刊卓越行动计划重点期刊)

[24]Xingjuan Cai, Shaojin Geng, Di Wu, Jianghui Cai, Jinjun Chen, A Multi-cloud Model based Many-objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things, IEEE Internet of Things Journal, 2021, 8(12): 9645-9653. (中科院1区, IF=9.936)

[25]Xingjuan Cai, Shaojin Geng, Di Wu, Jinjun Chen, Unified integration of many-objective optimization algorithm based on temporary offspring for software defects prediction, Swarm and Evolutionary Computation, 2021, 63:100871.（中科院1区, IF=6.912）

[26]Xingjuan Cai, Zhaoming Hu, Peng Zhao, Wensheng Zhang, Jinjun Chen, A hybrid recommendation system with many-objective evolutionary algorithm, Expert Systems with Applications, 2020, 159: 113648.(中科院1区, IF=5.452)

[27]Xingjuan Cai, Zhaoming Hu, Jinjun Chen, A many-objective optimization recommendation algorithm based on knowledge mining, Information Sciences, 2020, 537:148-161. (中科院1区, IF=5.910)

[28]Zhihua Cui, Yaru Zhao, Yang Cao,Xingjuan Cai, Wensheng Zhang, Jinjun Chen, Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model, IEEE Network, 2021, 35(2):82-87. (中科院1区, IF=8.808)

[29]Lijie Xie, Zhaoming Hu,Xingjuan Cai, Wensheng Zhang, Jinjun Chen, Explainable recommendation based on knowledge graph and multi-objective optimization, Complex & Intelligent Systems, 2021, 7(3):1241-1252. (中科院2区, IF= 3.791)

[30]Xingjuan Cai, Penghong Wang, Lei Du,Zhihua Cui, Wensheng Zhang,Jinjun Chen, Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II, IEEE Sensors Journal, 2019, 19(21): 10003-10015. (ESI高被引论文)

[31]Xingjuan Cai, Hui Wang, Zhihua Cui, Jianghui Cai, Yu Xue, Lei Wang, Bat algorithm with triangle-flipping strategy for numerical optimization, International Journal of Machine Learning and Cybernetics, 2018, 9(2): 199-215.(ESI高被引论文)

[32]Xingjuan Cai, Jiangjiang Zhang, Hao Liang, Lei Wang, Qidi Wu, An ensemble bat algorithm for large-scale optimization, International Journal of Machine Learning and Cybernetics, 2019, 10(11): 3099-3113.

[33]Xingjuan Cai, Penghong Wang, Zhihua Cui, Wensheng Zhang, Jinjun Chen, Weight convergence analysis of DV-hop localization algorithm with GA, Soft Computing, 2020, 24(23): 18249-18258.(CCF C类)

[34]Jialei Xu, Zhixia Zhang, Zhaoming Hu, Lei Du,Xingjuan Cai, A many-objective optimized task allocation scheduling model in cloud computing, Applied Intelligence,2021,51(6):3293-3310. (CCF C类)