Yue Xie

• Language Competencies

  Language	Competency
  Chinese (Mandarin)	Can read, write, speak, understand spoken and peer review
  English	Can read, write, speak, understand spoken and peer review

• Education

  Date	Institution name	Country	Title
  2018	University of Adelaide	Australia	PhD
  2015 - 2018	Beihang University	China	Research Master

• Research Interests

  Evolution of Developmental Systems Knowledge Representation and Machine Learning Optimisation

• Journals

  Year	Citation
  2021	Xie, Y., Neumann, A., & Neumann, F. (2021). Heuristic Strategies for Solving Complex Interacting Stockpile Blending Problem with Chance Constraints.. arXiv, abs/2102.05303, 1079-1087. DOI Scopus1 WoS1
  2018	Xie, Y., Zhou, S., Xiao, Y., Kulturel-Konak, S., & Konak, A. (2018). A β -accurate linearization method of Euclidean distance for the facility layout problem with heterogeneous distance metrics. European Journal of Operational Research, 265(1), 26-38. DOI Scopus17 WoS11
  2017	Xiao, Y., Xie, Y., Kulturel-Konak, S., & Konak, A. (2017). A problem evolution algorithm with linear programming for the dynamic facility layout problem—A general layout formulation. Computers & Operations Research, 88, 187-207. DOI Scopus25 WoS13
  2016	Zhou, S., Hu, C., Xie, Y., & Chang, W. (2016). Research on supply chain risk assessment with intuitionistic fuzzy information. Journal of Intelligent & Fuzzy Systems, 30(6), 3367-3372. DOI Scopus5 WoS5

• Conference Papers

  Year	Citation
  2021	Xie, Y., Neumann, A., Neumann, F., & Sutton, A. M. (2021). Runtime Analysis of RLS and the (1+1) EA for the Chance-constrained Knapsack Problem with Correlated Uniform Weights.. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO'21) Vol. abs/2102.05778 (pp. 1-8). online: ACM. DOI Scopus2 WoS1
  2021	Xie, Y., Neumann, A., & Neumann, F. (2021). Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems. In 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings Vol. abs/2104.03440 (pp. 1288-1295). ELECTR NETWORK: IEEE. DOI
  2021	Xie, Y., Neumann, A., & Neumann, F. (2021). Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints.. In F. Chicano, & K. Krawiec (Eds.), Genetic and Evolutionary Computation Conference (GECCO'21) (pp. 1079-1087). online: ACM.
  2021	Xie, Y., Neumann, A., Neumann, F., & Sutton, A. M. (2021). Runtime analysis of RLS and the (1+1) EA for the chance-constrained knapsack problem with correlated uniform weights.. In F. Chicano, & K. Krawiec (Eds.), GECCO (pp. 1187-1194). ACM.
  2021	Xie, Y., Neumann, A., & Neumann, F. (2021). Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO'21) (pp. 1-9). online: ACM.
  2020	Assimi, H., Harper, O., Xie, Y., Neumann, A., & Neumann, F. (2020). Evolutionary bi-objective optimization for the dynamic chance-constrained knapsack problem based on tail bound objectives. In Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), as published in Frontiers in Artificial Intelligence and Applications Vol. 325 (pp. 307-314). Amsterdam, Netherlands: IOS Press BV. DOI Scopus6 WoS3
  2020	Xie, Y., Neumann, A., & Neumann, F. (2020). Specific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO'20) (pp. 271-279). New York: Association for Computing Machinery. DOI Scopus5 WoS3
  2019	Xie, Y., Harper, O., Assimi, H., Neumann, A., & Neumann, F. (2019). Evolutionary algorithms for the chance-constrained knapsack problem. In GECCO '19: Proceedings of the 2019 Genetic and Evolutionary Computation Conference Vol. abs/1902.04767 (pp. 338-346). New York: ACM. DOI Scopus10 WoS6
  2017	Hu, C., Zhou, S., Xie, Y., & Chang, W. (2017). The Markov forecasting model of landing states based on flight data. In L. Walls, M. Revie, & T. Bedford (Eds.), Risk, Reliability and Safety: Innovating Theory and Practice: Proceedings of ESREL 2016 (pp. 2277-2281). Oxfordshire, England, UK: Routledge.
  2016	Hu, C., Zhou, S. H., Xie, Y., & Chang, W. B. (2016). The study on hard landing prediction model with optimized parameter SVM method. In Chinese Control Conference, CCC Vol. 2016-August (pp. 4283-4287). Piscataway, New Jersey, United States: IEEE. DOI Scopus11 WoS9
  2016	Xie, Y., & Shenhan, Z. (2016). A new area linearization method for Unequal area facility layout problem. In 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Vol. 2016-December (pp. 1289-1293). online: IEEE. DOI Scopus1
  2016	Xie, Y., Zhou, S., Chang, W., & Zhao, J. (2016). An improved supplier selection model for equipment R&D project with independent fuzzy cost information. In IEEE (pp. 6502-6505). online: IEEE. DOI Scopus3
  2016	Xie, Y. (2016). An efficient solution approach based on hierarchical decomposition for facility layout problem. In ISTP. Beijing.

• Internet Publications

  Year	Citation
  2019	Xie, Y., Harper, O., Assimi, H., Neumann, A., & Neumann, F. (2019). Evolutionary algorithms for the chance-constrained knapsack problem..

Evolutionary computation

Algorithm & Data Structure Analysis

Working with Big Data

• Current Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2022	Co-Supervisor	Evolutionary Algorithms for Solving Chance Constrained Combinatorial Optimization Problems	Doctor of Philosophy	Doctorate	Full Time	Miss Saba Sadeghi Ahouei
  2022	Co-Supervisor	Is complexity an evolutionary response to selection change?	Master of Philosophy	Master	Part Time	Mr Gabor Zoltai

• Email: yue.xie@adelaide.edu.au