Scholarly Profiles

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

Publications

Here you can find a compilation of my scientific publications.

international journal articles

  • Zijun Wu, Rolf H. Möhring, Yanyan Chen and Dachuan Xu. Selfishness need not be bad. Operations Research. 69(2):410–435. March-April 2021.
    doi:10.1287/opre.2020.2036
    Indexing: SCI, SSCI, Dallas24, FT45, 2区.

  • 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.
    doi:10.1016/j.matcom.2018.10.002
    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-B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.
    doi:10.1109/TEVC.2017.2667713
    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.
    doi:10.1109/TEVC.2014.2336882
    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, pages 2395–2402. Palo Alto, CA, USA: AAAI Press. ISBN: 978-1-57735-809-1
    doi:10.1609/aaai.v33i01.33012395 / pdf@IAO / pdf@AAAI / slides / poster / blog 1 / blog 2 / early preprint@arxiv
    Indexing: CCF-A类, EI

  • 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
    doi:10.1109/IJCNN.2015.7280758
    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.
    doi:10.1109/CEC.2014.6900307

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
    doi:10.1007/978-3-319-51929-6_15

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.