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贾兆红


发表日期:2020-02-24 供稿:管理员

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:

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20129~20139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 EngineeringIEEE Industrial   ElectronicsIEEE Systems, Man and Cybernetics: SystemsSwarm and Evolutionary   ComputationKnowledge-Based SystemsInternational   Journal of Web Services ResearchApplied soft computingSoft ComputingInternational   Journal of Systems ScienceEuropean Journal of Industrial EngineeringJournal of   Industrial and Management OptimizationOptimization 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/EIJCR二区)

[11]                贾兆红,王燕(研究生),. 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/EIJCR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/EIJCR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/EIJCR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/EIJCR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/EIJCR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/EIJCR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/EIJCR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/EIJCR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:71971002)2020.1-2023.12

2)          国家自然科学基金青年基金(项目编号:71601001)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:1608085MG154);

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。