1. Yutao Qi, Jusheng Yu, Xiaodong Li, Yining Quan, Qiguang Miao. Enhancing Robustness of the Inverted PBI Scalarizing Method in MOEA/D. Applied Soft Computing. Accepted. ( IF: 3.541)
2. Jungang Luo, Xiaomei Sun, Yutao Qi, Jiancang Xie. Approximating the Irregularly shaped Pareto Front of Multi-objective Reservoir Flood Control Operation Problem. Applied Mathematical Modelling. 2018, 54: 502-516. (IF: 2.350, 中科院1区)
3. Yutao Qi, Qingsai Zhang, Xiaoliang Ma, Yining Quan, Qiguang Miao. Utopian Point Based Decomposition for Multi-objective Optimization Problems with Complicated Pareto Fronts. Applied Soft Computing. Available online 2 September 2017. ( IF: 3.541)
4. Yutao Qi, Jusheng Yu, Xiaodong Li, Yanxi Wei,Qiguang Miao. Reservoir Flood Control Operation Using Multi-objective Evolutionary Algorithm with Decomposition and Preferences. Applied Soft Computing. 2017,50: 21-33. (SCI: 000395834100002, IF: 3.541).
5. Yutao Qi, Xiaoliang Ma, Fang Liu, Licheng Jiao, Jianyong Sun, Jianshe Wu. MOEA/D with Adaptive Weight Adjustment. Evolutionary Computation (MIT Press). 2014, 22(2): 231-264. (SCI:000335565200002, IF: 3.826)
6. Yutao Qi, Liang Bao, Xiaoliang Ma, Qiguang Miao, Xiaodong Li. Self-adaptive Multi-objective Evolutionary Algorithm based on Decomposition for Large-scale problems: A Case Study on Reservoir Flood Control Operation. Information Sciences. Volumes 367-368, 1 November 2016, 529-549. (SCI: 000382794400033, IF: 4.832)
7. Yutao Qi, Zhanting Hou, Minglei Yin, Heli Sun, Jianbin Huang. An Immune Multi-objective Optimization Algorithm with Differential Evolution Inspired Recombination. Applied Soft Computing. 2015, 29:395-410. (SCI: 000350648100 033, IF: 3.541)
8. Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao. Multi-objective Immune Algorithm with Baldwinian Learning. Applied Soft Computing. 2012, 12(8): 2654-2674. (SCI: 00305275800066, IF: 3.541)
9. Yutao Qi, Liang Bao, Yingying Sun, Jungang Luo, Qiguang Miao. A Memetic Multi-objective Immune Algorithm for Reservoir Flood Control Operation. Water Resources Management, 2016, 30(9), 2957-2977. (IF: 2.848)
10. Yutao Qi, Zhanting Hou, He Li, Jianbin Huang, Xiaodong Li. A Decomposition Based Memetic Algorithm for Multi-objective Vehicle Routing Problem with Time Windows. Computers & Operations Research. 2015, 62: 61-77. (IF: 2.600)
11. Xiaoliang Ma, Fang Liu, Yutao Qi et al. A Multiobjective Evolutionary Algorithm based on Decision Variable Analyses for Multi-objective Optimization Problems with Large Scale Variables. IEEE Transactions on Evolutionary Computation. 2016, 20(2): 275-298. (SCI: 000374028000008, IF: 10.629)
12. Yutao Qi, Xiaoliang Ma, et. al. MOEA/D with A Delaunay Triangulation Based Weight Adjustment. Genetic and Evolutionary Computation Conference (GECCO-2014). 2014, 93-94. (EI: 2014331806 1998)
13. Yutao Qi, Minglei Yin, Xiaodong Li. A Delaunay Triangulation Based Density Measurement for Evolutionary Multi-objective Optimization. Conference on Artificial Life and Computational Intelligence (ACALCI 2016). LNCS 9592, 2016, pp. 183-192.
14. Jungang Luo, Yutao Qi, et. al. AHybrid Multi-objective PSO-EDA Algorithm for Reservoir Flood Control Operation. Applied Soft Computing. 2015, 34: 526-538. (SCI: 000357469500039, IF: 2.810)
15. Ke Liu, Jianbin Huang, Heli Sun, Mengjie Wan,Yutao Qi, He Li. Label propagation based evolutionary clustering for detecting overlapping and non-overlapping communities in dynamic networks. Knowledge-Based Systems. 2015, 89: 487-496. ( IF: 2.947)
16. Xiaoliang Ma, Fang Liu, Yutao Qi, Maoguo Gong, Lingling Li, Licheng Jiao, Jianshe Wu. MOEA/D with Opposition-Based Learning for Multiobjective Optimization Problem. Neurocomputing. 2014, 146: 48-64. (SCI:000342529500005, IF: 2.005)
17. Xiaoliang Ma, Fang Liu, Yutao Qi, Lingling Li, Licheng Jiao, Meiyun Liu, Jianshe Wu. MOEA/D with Baldwinian Learning Inspired by the Regularity Property of Continuous Multiobjective Problem. Neurocomputing. 2014, 145: 336-352.(SCI:000342248100036, IF: 2.005)
18. Xiaoliang Ma, Yutao Qi, et. al. MOEA/D with Uniform Decomposition Measurements for Many-Objective Problems. Soft Computing. 2014, 18:2541–2564.(SCI:000345097100016, IF:1.271)
19. Xiaoliang Ma, Fang Liu, Yutao Qiet al. MOEA/D with biased weight adjustment inspired by user preference and its application on multi-objective reservoir flood control problem. Soft Computing. 2015, 1-25.(SCI indexed, IF: 1.271)
20. Jingyi Ding, Licheng Jiao, Jianshe Wu, Yunting Hou, Yutao Qi. Prediction of missing links based on multi-resolution community division.Physica A: Statistical Mechanics and its Applications.2015, 417: 76-85. (SCI indexed, IF: 1.732)
21. Sifeng Zhu, Fang Liu, Yutao Qi, et. al. Immune Optimization Algorithm for Solving Joint Call Admission Control Problem in Next-generation Wireless Network. Engineering Applications of Artificial Intelligence.2012, 5(7): 1395-1402. (SCI:000309787800012, IF: 1.962)
22. Zhengyi Chai, Fang Liu, Yitao Qi et. al. On the Use of Immune Clonal Optimization for Joint Subcarrier and Power Allocation in OFDMA with Proportional Fairness Rate. International Journal of Communication Systems. 2013, 26(10):1273–1287. (SCI:000325539100004, IF: 1.106)
23. Zhengyi Chai, Fang Liu, Yutao Qi  et. al. A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network. Wireless Personal Communications. 2013,69(4): 1671-1687.  (SCI:000316914800034, IF: 0.979)
24. Fang Liu, Sifeng Zhu, Zhengyi Chai, Yutao Qi, Jianshe Wu. Immune Optimization Algorithm for Solving Vertical Handoff Decision Problem in Heterogeneous Wireless Network. Wireless Networks. 2012, 18(8): 713-723. (SCI:000316200400007, IF:0.961)
25. Yutao Qi, Fang Liu, Yuan Ren, et. al. A Cooperative Immune Coevolutionary Algorithm for Multiobjective Optimization.Acta Electronica Sinica.2014, 42(5): 858-867. (EI:20142917947031)
26. Yutao Qi, Fang Liu, Weiyuan Chang, et. al. Memetic Immune Algorithm for Multiobjective Optimization. Journal of Software. 2013, 24(7):1529-1544. (EI:20133416646677)
27. Yutao Qi, Fang Liu, Jingle Liu, et. al.Hybrid Immune Algorithm with EDA for Multi-Objective Optimization. Journal of Software. 2013, 24(10): 2251-2266.( EI: 20135117103953)

  1. Fang Liu, Yutao Qi, Jingjing Ma, Maoguo Gong, Ronghua Shang, Yangyang Li and Licheng Jiao. High Performance Immune Clonal Algorithm for solving Large Scale TSP. Traveling Salesman Problem, Theory and Applications, Book edited by: Donald Davendra, ISBN: 978-953-307-426-9, Publisher: InTech, Publishing date: December 2010.