Haoxiang Qin

📖 Publications

🎓 Master Thesis

📝 Regular Papers

  1. Haoxiang Qin, Yi Xiang✉️, Yuyan Han, Yuting Wang, Qingda Chen, and Ping Zhou. Intelligent scheduling approach for distributed flexible job-shop with deep reinforcement learning and quality-diversity optimization. SCIENTIA SINICA Informationis, 2025. [DOI: 10.1360/SSI-2025-0113] [PDF], CCF-A, Chinese top and authoritative journals
  2. Haoxiang Qin</strong>, Yi Xiang✉️, Fangqing Liu, Yuyan Han, and Yuting Wang. Enhancing Quality-Diversity algorithm by reinforcement learning for Flexible Job Shop Scheduling with transportation constraints. Swarm and Evolutionary Computation, vol.93, no. 101849, pp.1-14, 2025.[DOI: doi.org/10.1016/j.swevo.2025.101849] [PDF], Impact Factor: 8.2, Q1
  3. Haoxiang Qin</strong>, Wenlei Bai, Yi Xiang✉️, Fangqing Liu, Yuyan Han, and Ling Wang. A Self-adaptive Collaborative Differential Evolution Algorithm for Solving Energy Resource Management Problems in Smart Grids. IEEE Transactions on Evolutionary Computation, vol. 28, no. 5, pp. 1427-1441, Oct. 2024. [DOI: doi: 10.1109/TEVC.2023.3312769] [PDF], CCF-B, Impact Factor: 14.3, Q1
  4. Haoxiang Qin</strong>, Yuyan Han✉️, Qingda Chen, Ling Wang, Yuting Wang, Junqing Li, and Yiping Liu. Energy Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling with Blocking Constraints. IEEE Transactions on Emerging Topics in Computational Intelligence, vol.7, no. 5, pp.1442-1457, 2023. [DOI: 10.1109/TECI.2023.3271331][PDF], Impact Factor: 5.3, Q2
  5. Haoxiang Qin, Yuyan Han✉️, Yuting Wang✉️, Yiping Liu, Junqing Li, and Quanke Pan. Intelligent Optimization Under Blocking Constraints: A Novel Iterated Greedy Algorithm for the Hybrid Flow-Shop Group Scheduling Problems. knowledge-based systems, vol.258, no. 109962, pp.1-24, 2022. [DOI: 10.1016/j.knosys.2022.109962] [PDF], Impact Factor: 8.139, Q1
  6. Haoxiang Qin, Yuyan Han✉️, Yiping Liu, Junqing Li, Quanke Pan, Xue Han. A collaborative iterative greedy algorithm for the scheduling of distributed heterogeneous hybrid flow shop with blocking constraints. Expert Systems with Applications, vol.201, no. 117256, pp.1-15, 2022, [10.1016/j.eswa.2022.117256] [PDF] , Impact Factor: 8.665, Q1
  7. Haoxiang Qin, Yuyan Han✉️, Biao Zhang, Leilei Meng, Yiping Liu, Quanke Pan, Dunwei Gong. An improved iterated greedy algorithm for the energy-efficient blocking hybrid flow shop scheduling problem. Swarm and Evolutionary Computation, vol.69, no. 100992, pp.1-18, 2021.[10.1016/j.swevo.2021.100992] [PDF], Impact Factor: 10.267, Q1 highly_eng
  8. Haoxiang Qin, Yuyan Han✉️, Qingda Chen, Junqing Li, Hongyan Sang. A double level mutation iterated greedy algorithm for blocking hybrid flow shop scheduling. Control and Decision, vol.37, no. 9, pp.2323-2332, 2021. [10.13195/j.kzyjc.2021.0607] [PDF], EI, Chinese authoritative journals
  9. Zhongyuan Peng, Haoxiang Qin✉️. A single-individual based variable neighborhood search algorithm for the blocking hybrid flow shop group scheduling problem. Egyptian Informatics Journal, vol.27, no. 100509, 2024. [DOI: 10.1016/j.eij.2024.100509] [PDF], Impact Factor: 5, Q1
  10. Wenlei Bai✉️, Fanlin Meng, Ming Sun, Haoxiang Qin, Richard Allmendinger, Kwang Y Lee. Differential Evolutionary Particle Swarm Optimization with Orthogonal Learning for Wind Integrated Optimal Power Flow. Applied soft computing, no.111662, 2024. [10.1016/j.asoc.2024.111662] [PDF], Impact Factor: 8.7, Q1
  11. Xue Han, Yuyan Han✉️, Biao Zhang, Haoxiang Qin, Junqing Li, Yiping Liu, Dunwei Gong. An effective local search algorithm with restart strategy for energy-efficient distributed blocking flowshop scheduling problem with setup times. Applied soft computing, vol.129, no. 109502, pp.2323-2332, 2022. [10.1016/j.asoc.2022.109502] [PDF], Impact Factor: 8.263, Q1

💬 Conference Papers

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