安徽大学研究生导师简介
院（系、所）：互联网计算机科学与技术学院
姓名：贾兆红
性别：女
技术职称： 教授


导师类别：博导/硕导

联系方式
Jiazhaohong001@163.com

招生专业名称
计算机科学与技术

主要研究方向
1. 人工智能及其应用

2. 多目标优化算法及其应用

3. 数据挖掘、大数据分析

个人简历
教授、博士、博士生导师，副院长。2012年9月~2013年9月在美国新泽西理工学院进行访学；安徽大学首批青年骨干教师培养对象。
在国内外重要学术期刊和国际学术会议上发表学术论文50余篇，其中SCI\EI收录约40篇，TOP期刊8篇；
申请多项国家发明专利，其中已授权2项；
参编专著《机器学习与智能决策系统》（科学出版社）、《半导体生产中的排序理论与算法》（清华大学出版社/待出版）；
先后主持两项国家自然科学基金、教育部青年基金、省自然科学基金、教育厅自然科学重点项目，及企业委托横向项目。
担任国际期刊Applied Soft Computing编委；担任IEEE Automation Science and Engineering、IEEE Industrial Electronics、IEEE Systems, Man and Cybernetics: Systems、Swarm and Evolutionary Computation、Knowledge-Based Systems、International Journal of Web Services Research、Applied soft computing、Soft Computing、International Journal of Systems Science、European Journal of Industrial Engineering、Journal of Industrial and Management Optimization、Optimization Letters、自动化学报等国内外重要期刊的审稿人。

学术成果
近五年代表作：
[1] JIA Zhao-hong*, CUI Yu-fei(研究生), LI Kai. An ant colony-based algorithm for integrated scheduling on batch machines with non-identical capacities. Applied Intelligence, 2021. (SCI源刊, 已录用)
[2] JIA Zhao-hong*, PAN Le(研究生)i, LIU Xiao, LI Xue-jun. A novel cloud workflow scheduling algorithm based on stable matching game theory. Journal of Supercomputing, 2021. (SCI源刊, 已录用)
[3] WANG Yan(研究生), JIA Zhao-hong*, LI Kai. A multi-objective co-evolutionary algorithm of scheduling on parallel non-identical batch machines. Expert Systems with Applications, 2021, 167, 114145. (EI, TOP)
[4] QIAN Si-yuan(研究生), JIA Zhao-hong*, LI Kai. A Multi-objective Evolutionary Algorithm Based on Adaptive Clustering for Energy-aware Batch Scheduling Problem. Future Generation Computer Systems. 2020, 113: 441-453.(SCI,TOP)
[5] ZHANG Han(研究生), JIA Zhao-hong*; LI Kai; Ant colony optimization algorithm for total weighted completion time minimization on non-identical batch machines, Computers & Operations Research, 2020, 117: 104889. (SCI，二区)
[6] YANG Yang(研究生), JIA Zhao-hong*, ZHANG Yi-wen, LI Kai. An Improved ACO with First-job Restriction and PANT for Batch Scheduling Problem. 2019 IEEE Smart World, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, Leicester, United Kingdom, 2019, 974-980. (CCF C会议)
[7] JIA Zhao-hong*, LI Ya-jie(研究生), LI Kai, CHEN Hua-ping. Weak-restriction bi-objective optimization algorithm for scheduling with rejection on non-identical batch processing machines. Applied Soft Computing. 2020, 86, 1-13. (SCI)
[8] 贾兆红, 王燕(研究生), 张以文. 求解差异机器平行批调度的双目标协同蚁群算法. 自动化学报. 2020, 46(6): 1121-1135.
[9] Jia Zhao-hong, Gao Le-Yang(研究生), et al. A new history-guided multi-objective evolutionary algorithm based on decomposition for batching scheduling. Expert Systems with Applications, 2020, 141. (SCI/EI, JCR一区, TOP)
[10] Jia Zhao-hong, Wang Yan(研究生), et al. Multi-objective energy aware batch scheduling using ant colony optimization algorithm. Computer & Industrial Engineering, 2019, 131, 41-56.(SCI/EI，JCR二区)
[11] 贾兆红,王燕(研究生),等. 一种基于蚁群的多目标协同优化算法. 自动化学报（EI，已录用）
[12] Zhang Han(研究生), Jia Zhaohong, et al. Ant colony optimization algorithm for total weighted completion time minimization on non-identical batch machines. Computers & Operations Research, 2020. (SCI/EI，JCR二区)
[13] Jia Zhaohong, Yan Jianhai(研究生), et al. Ant colony optimization algorithm for scheduling jobs with fuzzy processing time on parallel batch machines with different capacities. Applied Soft Computing, 2019, 75: 548-561. (SCI/EI，JCR二区)
[14] Jia Zhao-hong, Zhang Han(研究生), et al. A meta-heuristic for minimizing total weighted flow time on parallel batch machines. Computers & Industrial Engineering, 2018, 125: 298-308. (SCI/EI，JCR二区)
[15] Jia Zhao-hong, Zhuo Xue-xue(研究生), et al. Integrated production and transportation on parallel batch machines to minimize total weighted delivery time. Computers & Operations Research, 2019, 102: 39-51. (SCI/EI，JCR二区)
[16] Zhaohong Jia, Xiaohao Li(研究生), Joseph Y.T. Leung. Minimizing makespan for arbitrary size jobs with release times on P-batch machines with arbitrary capacities. Future Generation Computer Systems, 2017: 67, 22-34. (SCI/EI，JCR二区，TOP)
[17] Zhaohong Jia, Ming-li Pei(研究生), Joseph Y.-T. Leung. Multi-objective ACO algorithms to minimize the makespan and the total rejection cost on BPMs with arbitrary job weights, International Journal of Systems Science, 2017, 48:16, 3542-3557. (SCI/EI，JCR二区)
[18] Zhao-hong Jia, Yu-lan Zhang(研究生), Joseph Y.-T. Leung, Kai Li. Bi-criteria ant colony optimization algorithm for minimizing makespan and energy consumption on parallel batch machines. Applied Soft Computing, 2017, 55: 226-237. (SCI/EI，JCR二区)
[19] JIA Zhaohong, WANG Chao(研究生), LEUNG Joseph Y.-T. An ACO algorithm for makespan minimization in parallel batch machines with non-identical job sizes and incompatible job families. Applied Soft Computing, 2016, 38: 395-404. (SCI/EI，JCR二区)

获奖情况
2015年获省级教学成果二等奖

在研项目
近年主持项目：
1) 国家自然科学基金面上基金(项目编号：**)，2020.1-2023.12；
2) 国家自然科学基金青年基金(项目编号：**)，2017.1-2019.12；
3) 教育部青年基金项目（项目编号：15YJC630041）；
4) 安徽省自然科学基金面上项目（项目编号：**MG154）；
5) 安徽省教育厅自然科学重点项目（项目编号：KJ2015A062）；
6) 多项企业委托开发的横向课题。