1. Reviewer: Applied Soft Computing, ISSN: 1568-4946, Elsevier Journal
  2. Reviewer: Black-Box Discrete Optimization Benchmarking (BB-DOB@PPSN) Workshop at the Fifteenth International Conference on Parallel Problem Solving from Nature (PPSN XV), 8-9 September 2018, Coimbra, Portugal
  3. Reviewer: Black-Box Discrete Optimization Benchmarking (BB-DOB@GECCO) Workshop at the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018), July 15-19, 2018, Kyoto, Japan

1. Work Experience

2. Education and Training

Scholarly Profiles

Several facets of my research work can be accessed from the following profiles:


Here you can find a compilation of my scientific publications.

international journal articles

  • Michael Kolonko, Feng Gu, and Zijun Wu. Improving the Statistical Quality of Random Number Generators by Applying a Simple Ratio Transformation. Mathematics and Computers in Simulation 157:130–142, March 2019.
    Indexing: SCIE, 2区

  • Zijun Wu, Rolf H. Möhring, and Jianhui Lai. Stochastic Runtime Analysis of a Cross-Entropy Algorithm for Traveling Salesman Problems. Theoretical Computer Science (TCS), 724(69-86), May 2018.
    doi:10.1016/j.tcs.2017.10.012 / arXiv:1612.06962 [cs.DS]
    Indexing: SCI, EI, 4区, CCF-C类

  • Zijun Wu, Michael Kolonko, and Rolf H. Möhring. Stochastic Runtime Analysis of the Cross-Entropy Algorithm. IEEE Transactions on Evolutionary Computation (IEEE-EC) 21(4):616-628, August 2017.
    Indexing: SCI, EI, 1区, CCF-B类

  • Zijun Wu and Michael Kolonko. Asymptotic Properties of a Generalized Cross-Entropy Optimization Algorithm. IEEE Transactions on Evolutionary Computation (IEEE-EC), 18(5):658-673, October 2014.
    Indexing: SCI, EI, 1区, CCF-B类

conference papers

  • Thomas Weise, Zijun Wu, and Markus Wagner. An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), January 27 – February 1, 2019, Honolulu, Hawaii, USA. Palo Alto, CA, USA: AAAI Press.
    blog entry / slides / poster / blog
    Indexing: CCF-A类

  • Thomas Weise and Zijun Wu. Difficult Features of Combinatorial Optimization Problems and the Tunable W-Model Benchmark Problem for Simulating them. In Black Box Discrete Optimization Benchmarking (BB-DOB) Workshop of Companion Material Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018), July 15th-19th 2018, Kyoto, Japan, pages 1769-1776, ISBN: 978-1-4503-5764-7. ACM.
    doi:10.1145/3205651.3208240 / pdf / slides / source codes / workshop website
    Additional experimental results with the W-Model, which were not used in this paper, can be found at doi:10.5281/zenodo.1256883.
    Indexing: EI, CCF-C类

  • Maryam Pazouki, Zijun Wu, Zhixing Yang, and Dietmar P. F. Möller. An Efficient Learning Method for RBF Neural Networks. In Proceedings of the 2015 International Joint Conference on Neural Networks (IJCNN 2015), Killarney, Ireland, July 12-17, 2015. IEEE. ISBN: 978-1-4799-1960-4
    Indexing: EI, CCF-C类

  • Zijun Wu and Michael Kolonko. Absorption in Model-Based Search Algorithms for Combinatorial Optimization. In Proceedings of the IEEE Congress on Evolutionary Computation (CEC'14), Proceedings of the 2014 World Congress on Computational Intelligence (WCCI'14), pages 1744-1751, July 6-11, 2014, Beijing, China: Beijing International Convention Center (BICC). Los Alamitos, CA, USA: IEEE Computer Society Press. ISBN: 978-1-4799-1488-3.

book chapters

  • Jianhui Lai, Yanyan Chen, Zijun Wu, Guang Yuan, and Miaoyi Li. Application of Cellular Data in Traffic Planning. In Zhenjiang Shen and Miaoyi Li, eds., Big Data Support of Urban Planning and Management: The Experience in China, pages 273-296, Cham: Springer, 2018, ISBN: 978-3-319-51928-9

national journal articles

  • 吴自军 (Zijun Wu). 基于回答随机性下的总体均值的一个新的估计. 统计与决策, (22):31-32, 2010.

You may use the following electronic methods to contact me:

Contact:  Dr. Zijun Wu  [吴自军]
Mobile Phone:  +86 136 6116 6270  [手机]
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.  [电邮]
Website:  Dr. Zijun Wu  [网页]
LinkedIn: http://www.linkedin.com/in/zijun-wu-567b75155/
WeChat:  wxid_rkva1krrizgs22
QQ:  1291595453
Portrait of Dr. Zhen LIU.

I am Dr. Zijun Wu [吴自军], member of the Institute of Applied Optimization [应用优化研究所] of the Faculty of Computer Science and Technology [计算机科学与技术系] of the Hefei University [合肥学院]. Before joining this institute, I was an Assistant Professor at the Beijing Institute for Scientific and Engineering Computing (BISEC) [北京科学与工程计算研究院] of the Beijing University of Technology (BJUT) [北京工业大学] in Beijing [北京], China. I received my Ph.D. in Operations Research from the Clausthal University of Technology (Technische Universität Clausthal) in Clausthal-Zellerfeld, Germany in 2015 and my M.Sc. in Pure Mathematics from the Sichuan University [四川大学], Chengdu, Sichuan [四川], China in 2010.

My research interest is in Traffic Optimization (traffic analysis and congestion pricing), Operations Research (evolutionary algorithms, NP-hard problems, simulation-based optimization), Statistics and Machine Learning (stochastic process, time series forecasting, clustering and neural networks), Mathematics (measure and probability), and Theoretical Computer Science (theory of natural inspired computing).