Yanjie Song

Yanjie Song

Practice makes perfect.

Publications

To get the BibTex of the full papers, please download from here, or ask me via yanjiesong96@gmail.com.

If you need the PDF of any of the papers, please feel free to contact me.

Journal Articles

  1. Wang, H., Huang, W., Magnússon, S., Lindgren, T., Wang, R., & Song, Y. (2024). A Strategy Fusion-Based Multi-Objective Optimization Approach for Agile Earth Observation Satellite Scheduling Problem. IEEE Transactions on Geoscience and Remote Sensing.
  2. Hu, Y., Ou, J., Suganthan, P. N., Pedrycz, W., Wang, R., Zheng, J., ... & Song, Y.* (2024). Dynamic Multi-Objective Optimization Algorithm Guided by Recurrent Neural Network. IEEE Transactions on Evolutionary Computation.
  3. Song, Y., Suganthan, P. N., Pedrycz, W., Yan, R., Fan, D., & Zhang, Y. (2024). Energy-Efficient Satellite Range Scheduling Using A Reinforcement Learning-based Memetic Algorithm. IEEE Transactions on Aerospace and Electronic Systems.
  4. Song, Y., Wu, Y., Guo, Y., Yan, R., Suganthan, P. N., Zhang, Y., ... & Feng, Q. (2024). Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm and Evolutionary Computation, 86, 101517.
  5. Pham, D., Song, Y., Laili, Y., Ismail, A., Hartono, N., Packianather, M., & Castellani, M. (2024). The Bees Algorithm and Its Applications in Production and Manufacturing. International Journal of Advances in Production Research, 1(1), 1-10.
  6. Lu, W., Gao, W., Liu, B., Niu, W., Peng, X., Yang, Z., & Song, Y. (2024). Parallel dual adaptive genetic algorithm: A method for satellite constellation task assignment in time-sensitive target tracking. Advances in Space Research.
  7. Xu, Y., Jiang, X., Li, J., Xing, L., & Song, Y. (2024). A knowledge-driven memetic algorithm for the energy-efficient distributed homogeneous flow shop scheduling problem. Swarm and Evolutionary Computation, 89, 101625.
  8. Zhan, H., Zhang, Y., Huang, J., Song, Y.*, Xing, L., Wu, J., & Gao, Z. (2024). A reinforcement learning-based evolutionary algorithm for the unmanned aerial vehicles maritime search and rescue path planning problem considering multiple rescue centers. Memetic Computing, 1-14.
  9. Song, Y., Ou, J., Pedrycz, W., Suganthan, P. N., Wang, X., Xing, L., & Zhang, Y. (2024). Generalized Model and Deep Reinforcement Learning-Based Evolutionary Method for Multitype Satellite Observation Scheduling. IEEE Transactions on Systems, Man, and Cybernetics: Systems. [pdf]
  10. Wei, L., Chen, M., Xing, L., Wan, Q., Song, Y., Chen, Y., & Chen, Y. (2024). Knowledge-transfer based genetic programming algorithm for multi-objective dynamic agile earth observation satellite scheduling problem. Swarm and Evolutionary Computation, 101460. [pdf]
  11. Huang, J., Li, J., Du, Y., Song, Y., Wu, J., Yao, F., & Wang, P. (2023). Research of a Multi-Level Organization Human Resource Network Optimization Model and an Improved Late Acceptance Hill Climbing Algorithm. Mathematics, 11(23), 4813. [pdf]
  12. Liu, S., Wang, J., Wang, R., Zhang, Y., Song, Y., & Xing, L. (2023). Data-driven dynamic pricing and inventory management of an omni-channel retailer in an uncertain demand environment. Expert Systems with Applications, 122948. [pdf]
  13. Wu, J., Cheng, L., Chu, S., & Song, Y. (2024). An autonomous coverage path planning algorithm for maritime search and rescue of persons-in-water based on deep reinforcement learning. Ocean Engineering, 291, 116403. [pdf]
  14. Tan, W., Tian, H., Song, Y., & Duan, X. (2023). Impact of Allee and fear effects in a fractional order prey–predator system with group defense and prey refuge. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(10). [pdf]
  15. Song, Y., Suganthan, P. N., Pedrycz, W., Ou, J., He, Y., Chen, Y., & Wu, Y. (2023). Ensemble reinforcement learning: A survey. Applied Soft Computing, 110975. [pdf]
  16. Liu, J., Wang, T., Yao, F., Pedrycz, W., Song, Y.*, & He, R. (2024). Assessing growth potential of careers with occupational mobility network and ensemble framework. Engineering Applications of Artificial Intelligence, 127, 107306. [pdf]
  17. Huang, Y., Luo, A., Chen, T., Zhang, M., Ren, B., & Song, Y. (2023). When architecture meets RL+ EA: A hybrid intelligent optimization approach for selecting combat system-of-systems architecture. Advanced Engineering Informatics, 58, 102209. [pdf]
  18. Wang, H., Yang, W., Li, J., Ou, J., Song, Y., & Chen, Y. (2023). An improved heterogeneous graph convolutional network for job recommendation. Engineering Applications of Artificial Intelligence, 126, 107147. [pdf]
  19. Song, Y., Ou, J., Suganthan, P. N., Pedrycz, W., Yang, Q., & Xing, L. (2023). Learning Adaptive Genetic Algorithm for Earth Electromagnetic Satellite Scheduling. IEEE Transactions on Aerospace and Electronic Systems. [pdf]
  20. Feng, Q., Zhang, Y., Sun, B., Guo, X., Fan, D., Ren, Y., Song, Y., Wang, Z. (2023). Multi-level predictive maintenance of smart manufacturing systems driven by digital twin: A matheuristics approach. Journal of Manufacturing Systems, 68, 443-454. [pdf]
  21. Song, Y., Ou, J., Wu, J., Wu, Y., Xing, L., & Chen, Y. (2023). A cluster-based genetic optimization method for satellite range scheduling system. Swarm and Evolutionary Computation, 101316. [pdf]
  22. Song, Y., Wei, L., Yang, Q., Wu, J., Xing, L., & Chen, Y. (2023). RL-GA: A reinforcement learning-based genetic algorithm for electromagnetic detection satellite scheduling problem. Swarm and Evolutionary Computation, 101236. [pdf]
  23. Wu, J., Yao, F., Song, Y., He, L., Lu, F., Du, Y., ... & Ou, J. (2023). Frequent Pattern-Based Parallel Search Approach for Time-Dependent Agile Earth Observation Satellite Scheduling. Information Sciences. [pdf]
  24. Ou, J., Xing, L., Yao, F., Li, M., Lv, J., He, Y., Song, Y., ... & Zhang, G. (2023). Deep reinforcement learning method for satellite range scheduling problem. Swarm and Evolutionary Computation, 101233. [pdf]
  25. Yang, Q., Gao, Y., & Song, Y. (2023). A Tent Lévy Flying Sparrow Search Algorithm for Wrapper-Based Feature Selection: A COVID-19 Case Study. Symmetry, 15(2), 316.
  26. Song, Y., Xing, L., & Chen, Y. (2022). Two-stage hybrid planning method for multi-satellite joint observation planning problem considering task splitting. Computers & Industrial Engineering, 108795.
  27. Song, Y., Song, B., Xing, L., Jia, Y., & Chen Y. (2022). Improved artificial bee colony algorithm for satellite-ground cooperative observation planning problem. Control and Decision, 37(3), 555-564.
  28. Jiang, X., Song, Y. (Co-first author), & Xing, L. (2022). Dual-population Artificial Bee Colony Algorithm for Joint Observation Satellites Mission Planning Problem. IEEE Access.
  29. Wei, L., Xing, L., Wan, Q., Song, Y., & Chen, Y. (2021). A Multi-objective Memetic Approach for Time-dependent Agile Earth Observation Satellite Scheduling Problem. Computers & Industrial Engineering, 159, 107530.
  30. Chen, M., Wen, J., Song, Y. J., Xing, L. N., & Chen, Y. W. (2021). A population perturbation and elimination strategy based genetic algorithm for multi-satellite TT&C scheduling problem. Swarm and Evolutionary Computation, 65, 100912.
  31. Song, Y., Xing, L., Wang, M., Yi, Y., Xiang, W., & Zhang, Z. (2020). A knowledge-based evolutionary algorithm for relay satellite system mission scheduling problem. Computers & Industrial Engineering, 150, 106830.
  32. Song, Y. J., Zhou, Z. Y., Zhang, Z. S., Yao, F., & Chen, Y. W. (2020). A framework involving MEC: imaging satellites mission planning. Neural Computing and Applications, 32(19), 15329-15340.
  33. Song, Y. J., Ma, X., Li, X. J., Xing, L. N., & Wang, P. (2019). Learning-guided nondominated sorting genetic algorithm II for multi-objective satellite range scheduling problem. Swarm and Evolutionary Computation, 49, 194-205.
  34. Song, Y. J., Zhang, Z. S., Sun, K., Yao, F., & Chen, Y. W. (2019). A heuristic genetic algorithm for regional targets’ small satellite image downlink scheduling problem. International Journal of Aerospace Engineering, 2019.
  35. Song, Y. J., Wang, P., Zhang, Z. S., Xing, L. N., & Chen, Y. W. (2019). An Improved Genetic Algorithm for Multi-Satellite Mission Planning Problem. Control Theory & Applications, 36(9), 1391-1397.
  36. Song, Y. J., Zhang, Z. S., Song, B. Y., & Chen, Y. W. (2019). Improved genetic algorithm with local search for satellite range scheduling system and its application in environmental monitoring. Sustainable Computing: Informatics and Systems, 21, 19-27.
  37. Yao, F., Song, Y. J.*, Zhang, Z. S., Xing, L. N., Ma, X., & Li, X. J. (2019). Multi-mobile robots and multi-trips feeding scheduling problem in smart manufacturing system: An improved hybrid genetic algorithm. International Journal of Advanced Robotic Systems, 16(4), 1729881419868126.
  38. Wang, Q., Luo, H., Xiong, J., Song, Y.*, & Zhang, Z. (2019). Evolutionary algorithm for aerospace shell product digital production line scheduling problem. Symmetry, 11(7), 849.
  39. Song, Y. J., Song, B. Y., Zhang, Z. S., & Chen, Y. W. (2018). The satellite downlink replanning problem: A BP neural network and hybrid algorithm approach for IoT Internet connection. IEEE Access, 6, 39797-39806.
  40. Song, Y., Huang, D., Zhou, Z., & Chen, Y. (2018). An emergency task autonomous planning method of agile imaging satellite. EURASIP Journal on Image and Video Processing, 2018(1), 1-11.

Book Chapters

  1. Bees Algorithm with Adaptive Operator Selection Mechanism for Generalised Multi-dimensional Multi-choice Knapsack Problem (Forthcoming)
  2. A Tabu-Based Bees Algorithm for Unmanned Aerial Vehicles in Maritime Search and Rescue Path Planning (Forthcoming)
  3. A Knowledge Transfer-based Bees Algorithm for Expert Team Formation Problem in Internet Company (Forthcoming)
  4. Song, Y., Xing, L., Chen, Y. (2022). Application of the Dual-population Bees Algorithm in a Parallel Machine Scheduling Problem with a Time Window, Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach. Editor: Duc Truong Pham, Natalia Hartono

Conference Papers

  1. Huang, Y., Luo, A., Zhang, M., Bai, L., Song, Y., & Li, J. (2023, April). Task Location Distribution Based Genetic Algorithm for UAV Mobile Crowd Sensing. In Bio-Inspired Computing: Theories and Applications: 17th International Conference, BIC-TA 2022, Wuhan, China, December 16–18, 2022, Revised Selected Papers (pp. 165-178). Singapore: Springer Nature Singapore.
  2. Song, Y. J., Ou, J. W., Pham, D. T., Li, J. T., Huang, J. B., & Xing, L. N. (2023, April). A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling. In Bio-Inspired Computing: Theories and Applications: 17th International Conference, BIC-TA 2022, Wuhan, China, December 16–18, 2022, Revised Selected Papers (pp. 81-91). Singapore: Springer Nature Singapore.
  3. Wang, H., Li, J., Song, Y., Huang, J., Li, J., & Chen, Y. (2022, December). An Improved Genetic Algorithm for Team Formation Problem. In 2022 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 774-781). IEEE.
  4. Huang, Y., Luo, A., Zhang, M., Zhang, X., Lin, M., & Song, Y. (2022, August). A Novel Mission Planning Model and Method for Combat system-of-systems Architecture Design. In 2022 8th International Conference on Big Data and Information Analytics (BigDIA) (pp. 239-245). IEEE.
  5. Song, Y., Wei, L., Xing, L., Fang, Y., Zhang, Z., & Chen, Y. (2021). Solving Satellite Range Scheduling Problem with Learning-Based Artificial Bee Colony Algorithm. BIC-TA.
  6. Wei, L.,Song, Y., Xing, L., Chen, M., & Chen, Y. (2021). A Hybrid Multi-objective Coevolutionary Approach for the Multi-user Agile Earth Observation Satellite Scheduling Problem. BIC-TA.
  7. Song, Y., Song, B., Huang, Y., Xing, L., & Chen, Y. (2021, December). Solving Large-scale Relay Satellite Scheduling Problem with A Dynamic Population Firework Algorithm: A Case Study. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 1-7). IEEE.
  8. Chen, Y., Song, Y. (Co-first Author), Du, Y., Wang, M., Zong, R., & Gong, C. (2020, August). A knowledge-based scheduling method for multi-satellite range system. In International Conference on Knowledge Science, Engineering and Management (pp. 388-396). Springer, Cham.
  9. Chen, M., Wen, J., Pi, B. J., Wang, H., Song, Y. J., & Xing, L. N. (2019, November). A Novel Genetic Algorithm with Population Perturbation and Elimination for Multi-satellite TT&C Scheduling Problem. In International Conference on Bio-Inspired Computing: Theories and Applications (pp. 558-568). Springer, Singapore.
  10. Ma, X., Li, X., Song, Y., Zheng, X., Zhang, Z., & He, R. (2019, July). A bp neural network for identifying corporate financial fraud. In 2019 IEEE International Conference on Intelligence and Security Informatics (ISI) (pp. 191-193). IEEE.
  11. Ma, X., Zhang, Y., Song, Y. J., Zhang, Z. S., Yao, F., & Han, X. D. (2019, March). A Fast and Effective Solution Algorithm for Satellite Measurement and Control Scheduling Problem. In Proceedings of the International Conference on Industrial Control Network and System Engineering Research (pp. 14-17).
  12. Song, Y. J., Ma, X., Zhang, Z. S., Xing, L. N., & Chen, Y. W. (2018, November). A hybrid dynamic population genetic algorithm for multi-satellite and multi-station mission planning system. In International Conference on Bio-Inspired Computing: Theories and Applications (pp. 444-453). Springer, Singapore.

Patents

  1. Chinese Patent. Reinforcement Learning-based Two-layer Energy Storage Scheduling Model and Adaptive Optimization of Energy Storage Technology.
  2. Chinese Patent. UAV Maritime Search and Rescue Path Planning Using A Tuba-based Bees Algorithm.
  3. Chinese Patent. Cluster-based Satellite Measurement and Control Scheduling Method and System, Patent Pending Number: 2022104076790.
  4. Chinese Patent. Multi-satellite Joint Planning Method and System Considering Task Splitting, Patent Pending Number: 2022103947224.
  5. Chinese Patent. Imaging Satellite Autonomous Mission Planning Method based on Machine Learning, Patent Pending Number: 201910034280.0
  6. Chinese Patent. A Reinforcement Learning based Evolution Method, System and Device for Satellite Mission Planning, Patent Pending Number: 2022104852062
  7. Chinese Patent. Online scheduling method for dynamically arriving tasks, Patent Pending Number: 2020101029515
  8. Chinese Software Copyright. Navigation and message return business planning software, Copyright Registration Number: 2019SR0324482.

Working Papers

  1. A Reinforcement learning-based two-layer Adaptive Optimization Method for User-side Energy Storage Scheduling Problem
  2. Multi-Objective Flexible Job Shop Scheduling via Preference-Conditioned Graph Reinforcement Learning
  3. Identifying and prioritizing key factors for smart aviation development using the fuzzy best-worst method: A case from China
  4. Container Shipping Contract Design under Financial Constraints and Default Risks
  5. A Reinforcement Learning-assisted Genetic Programming Algorithm for Team Formation Problem Considering Person-Job Matching [pdf]