Fangfang Zhang

PhD Student School of Engineering and Computer Science

Fangfang Zhang profile picture

Thesis Info

Research Interests: Evolutionary Computation, Genetic Programming, Hyper-heuristic, Job Shop Scheduling, Transfer Learning, Multitasking Optimisation
Thesis Title: Genetic Programming Hyper-heuristics for Dynamic Flexible Job Shop Scheduling
Supervisor: Dr Yi Mei, Prof Mengjie Zhang

 

Publications

More details are here: GoogleScholar ResearchGate

  1. Fangfang Zhang, Yi Mei, Su Nguyen, Kay Chen Tan, and Mengjie Zhang. "Multitasking Genetic Programming Based Generative Hyper-heuristics: A Case Study in Dynamic Scheduling". Submitted to IEEE Transactions on Cybernetics (Under Review, 1st).
  2. Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang, and Kay Chen Tan. "Surrogate-Assisted Evolutionary Multitasking Genetic Programming for Dynamic Flexible Job Shop Scheduling". Submitted to IEEE Transactions on Evolutionary Computation (Conditionally Accepted).
  3. Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "Collaborative Multi-fidelity based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling". Submitted to IEEE Transactions on Cybernetics (Under Review, 1st).
  4. Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "Correlation Coefficient based Recombinative Guidance for Genetic Programming Hyper-heuristics in Dynamic Flexible Job Shop Scheduling". Submitted to IEEE Transactions on Evolutionary Computation (Conditionally Accepted).
  5. Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "Evolving Scheduling Heuristics via Genetic Programming with Feature Selection in Dynamic Flexible Job Shop Scheduling". IEEE Transactions on Cybernetics, 2020, pp. 1-15. (Early Access)
  6. Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "A Preliminary Approach to Evolutionary Multitasking for Dynamic Flexible Job Shop Scheduling via Genetic Programming". in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2020), ACM, 2020. pp. 107-108.
  7. Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling". in Proceedings of the European Conference on Genetic Programming (EuroGP), Springer, 2020, pp. 262-278
  8. Fangfang Zhang, Yi Mei, Su Nguyen, and Mengjie Zhang. "Genetic Programming with Adaptive Search Based on the Frequency of Features for Dynamic Flexible Job Shop Scheduling". in Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP), Springer, 2020, pp. 214-230.
  9. Fangfang Zhang, Yi Mei, and Mengjie Zhang. "A Two-stage Genetic Programming Hyper-heuristic Approach with Feature Selection for Dynamic Flexible Job Shop Scheduling". in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2019), Prague, Czech Republic, 13-17 July, 2019. pp. 347-355
  10. Fangfang Zhang, Yi Mei, and Mengjie Zhang. "Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyperheuristics Help in Dynamic Flexible Job Shop Scheduling?". in Proceedings of the Congress on Evolutionary Computation (CEC 2019), Wellington, New Zealand, 10-13 June, 2019. pp. 41-48.
  11. Fangfang Zhang, Yi Mei, and Mengjie Zhang. "Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics". in Proceedings of the Congress on Evolutionary Computation (CEC 2019), Wellington, New Zealand, 10-13 June, 2019. pp. 1343-1350.
  12. Fangfang Zhang, Yi Mei, and Mengjie Zhang. "A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling". in Proceedings of the European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP 2019), Lecture Notes in Computer Science, Vol.11452, Springer. Leipzig, Germany, 24-26 April, 2019. pp. 33-49. ISBN: 978-3-030-16711-0
  13. Fangfang Zhang, Yi Mei, and Mengjie Zhang. "Genetic Programming with Multi-tree Representation for Dynamic Flexible Job Shop Scheduling". in Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI 2018), Lecture Notes in Computer Science, Vol. 11320, Springer. Wellington, New Zealand, 11-14 December, 2018. pp. 472-484. ISBN: 978-3-030-03991-2. (Best Paper Runner-Up Award)
  14. Fangfang Zhang, Yi Mei, and Mengjie Zhang. "Surrogate-Assisted Genetic Programming for Dynamic Flexible Job Shop Scheduling". in Proceedings of the Australasian Joint Conference on Artificial Intelligence (AI 2018), Lecture Notes in Computer Science , Vol. 11320, Springer. Wellington, New Zealand, 11-14 December, 2018. pp. 766-772. ISBN: 978-3-030-03991-2