2012年-2017年发表学术论文

Journal Articles

1. Ruochen Liu, Licheng Jiao, Xiangrong Zhang, Yangyang Li. Gene Transposon based Clone Selection Algorithm for Automatic Clustering. Information Science, 2012, 204: 1-22. [PDF]
2. Ruochen Liu, Yangyang Chen, Licheng Jiao, Yangyang Li. A particle swarm optimization based simultaneous learning framework for clustering and classification. Pattern Recognition, 2014, 47(6): 2143-2152. [PDF]
3. Ruochen Liu, Jianxia Li, Jing fan, Caihong Mu, Licheng Jiao. A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization. European Journal of Operational Research, 2017, 261(3): 1028-1051. [PDF]
4. Ruochen Liu, Binbin Zhu, Renyu Bian, Yajuan Ma, Licheng Jiao. Dynamic local search based immune automatic clustering algorithm and its applications. Applied Soft Computing, 2015, 27: 250-268. [PDF]
5. Ruochen Liu, Xiangrong Zhang, Neng Yang, Qifeng Lei, Licheng Jiao. Immunodomaince based Clonal Selection Clustering Algorithm. Applied Soft Computing, 2012, 12(1): 302-312. [PDF]
6. Ruochen Liu, Ping Zhang, Licheng Jiao. A, Yangyang Li. Supervised Immune Clonal Evolutionary Classification Algorithm for High-dimensional Data. Neurocomputing, 2012, 98: 123-134. [PDF]
7. Ruochen Liu, Jianxia Li, Xiaolin Song, Xin Yu, Licheng Jiao. Simulated Annealing based Immunodominance Algorithm for Multiobjective Optimization Problems. Knowledge and Information Systems, 2017, DOI: 10.1007/s10115-017-1065-x, in press. [PDF]
8. Ruochen Liu, Lang Zhang, Bingjie Li, Yajuan Ma, Licheng Jiao. Synergy of two mutations based immune multi-objective automatic fuzzy clustering algorithm. Knowledge and Information Systems, 2015, 45(1): 133-157. [PDF]
9. Ruochen Liu, Xiaolin Song, Lingfen Fang, Licheng Jiao. An r-dominance-based preference multi-objective optimization for many-objective optimization. Soft Computing, 2016: 1-22. [PDF]
10. Ruochen Liu, Xu Niu, Jing Fan, Caihong Mu, Licheng Jiao. An orthogonal predictive model-based dynamic multi-objective optimization algorithm. Soft Computing, 2015, 19(11): 3083-3107. [PDF]
11. Ruochen Liu, Yangyang Chen, Wenping Ma, Caihong Mu, Licheng Jiao. A novel cooperative coevolutionary dynamic multi-objective optimization algorithm using a new predictive model. Soft Computing, 2014, 18(10): 1913-1929. [PDF]
12. Ruochen Liu, Ruinan Wang, Wen Feng, Junjun Huang, Licheng Jiao. Interactive Reference Region Based Multi-Objective Evolutionary Algorithm Through Decomposition. IEEE Access, 2016, 4: 7331-7346. [PDF]
13. Ruochen Liu, Ruinan Wang, Xin Yu, Lijia An. Shape automatic clustering-based multi-objective optimization with decomposition. Machine Vision and Applications, 2017, DOI: 10.1007/s00138-017-0850-6, in press. [PDF]
14. Ruochen Liu, Fan Jing, Licheng Jiao. Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm. Applied Intelligence, 2015, 43(1): 192-207. [PDF]
15. Ruochen Liu, Fei He, Jing Liu, Wenping Ma, Yangyang Li. A point symmetry-based clonal selection clustering algorithm and its application in image compression. Pattern Analysis and Applications, 2014, 17(3): 633-654. [PDF]
16. Ruochen Liu, lijia An, Xin Yu, Licheng Jiao. A New Two-Stage Genetic Programming Classification Algorithm and Its Application. Transactions of the Institute of Measurement and Control, 2017, DOI: https://doi.dox.org/10.1177/0142331217707362, in press. [PDF]
17. Ruochen Liu, Bingjie Li, Lang Zhang, Licheng Jiao. A new two-step learning vector quantization algorithm for image compression. Transactions of the Institute of Measurement and Control, 2015, 37(1): 3-14. [PDF]
18. Ruochen Liu, Lixia Wang, Pei Wu, Xingtong He, Licheng Jiao. Manifold distance-based particle swarm optimization for classification. Transactions of the Institute of Measurement and Control, 2013, 35(6): 834-850. [PDF]
19. Ruochen Liu, Xiaojuan Sun, Licheng Jiao, Yangyang Li. A Comparative Study on Different Cluster Validity Indexes. Transactions of the Institute of Measurement and Control, 2012, 34(7): 876-890. [PDF]
20. Ruochen Liu, Ping Zhang, Licheng Jiao. Quantum particle swarm optimization classification algorithm and its applications. International Journal of Pattern Recognition and Artificial Intelligence, 2014, 28(02): 1459004. [PDF]
21. Ruochen Liu, Lixia Wang, Wenping Ma, Caihong Mu, Licheng Jiao. Quadratic interpolation based orthogonal learning particle swarm optimization algorithm. Natural Computing, 2014, 13(1): 17-37. [PDF]
22. Ruochen Liu, Xiao Wang, Jing Liu, Lingfen Fang, Licheng Jiao. A preference multi-objective optimization based on adaptive rank clone and differential evolution. Natural Computing, 2013, 12(1): 109-132. [PDF]
23. Ruochen Liu, Chenlin Ma, Wenping Ma, Yangyang Li. A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling. The Scientific World Journal, 2013, (2):387194. [PDF]
24. Ruochen Liu, Zhengeng Yang, Wenping Ma. A Lamarckian learning based immune clonal automatic clustering algorithm for image segmentation. Icic Express Letters, 2013, 7(8): 2225-2230. [PDF]
25. Xiangrong Zhang, Qiang Song, Ruochen Liu, Wenna Wang, Licheng Jiao. Modified Co-Training With Spectral and Spatial Views for Semisupervised Hyperspectral Image Classification. IEEE Journal of Selected Topics In Applied Earth Observations and Remote Sensing, 2014, 7(6): 2044-2054. [PDF]
26. Xiangrong Zhang, Yudi He, Licheng Jiao,Ruochen Liu, Jie Feng, Sisi Zhou. Scaling cut criterion-based discriminant analysis for supervised dimension reduction. Knowledge and Information Systems, 2015, 43(3): 633-655. [PDF]
27. Yangyang Li, Hongzhu Shi, Licheng Jiao, Ruochen Liu. Quantum evolutionary clustering algorithm based on watershed applied to SAR image segmentation. Neurocomputing, 2012, 87: 90-98. [PDF]
28. Yangyang Li, Rongrong Xiang, Licheng Jiao, Ruochen Liu. An improved cooperative quantum-behaved particle swarm optimization. Soft Computing, 2012, 16(6): 1061-1069. [PDF]
29. Ruochen Liu, Chenlin Ma, Fei He, Wenping Ma, Licheng Jiao. Reference direction based immune clone algorithm for many-objective optimization. Frontiers of Computer Science in china, 2014, 8(4): 642-655. [PDF]
30. 刘若辰, 马亚娟, 张浪, 尚荣华. 基于预测策略的动态多目标免疫优化算法. 计算机学报, 2015, 38(8): 1544-1560. [PDF]

Conference Articles

1. Ruochen Liu, Xu Niu, Licheng Jiao, Jingjing Ma. A multi-swarm particle swarm optimization with orthogonal learning for locating and tracking multiple optimization in dynamic environments. 2014 IEEE Congress on Evolutionary Computation, CEC 2014: 754-761. [PDF]
2. Jianxia Li, Ruochen Liu, Yangyang Li. Ensemble-based Multi-objective Clustering Algorithms for Gene Expression Data Sets. 2017 IEEE Congress on Evolutionary Computation, CEC 2017: 333-340. [PDF]
3. Ruochen Liu, Xiao Wang, Yangyang Li, Xiangrong Zhang. Multi-objective Invasive Weed Optimization Algorithm for Clustering. 2012 IEEE Congress on Evolutionary Computation, CEC 2012: 1-8. [PDF]
4. Ruochen Liu, Yong Liu, Yangyang Li. An improved method for multi-objective clustering ensemble algorithm. 2012 IEEE Congress on Evolutionary Computation, CEC 2012: 1-8. [PDF]
5. Yangyang Li, Yang Yue, Lichen Jiao, Ruochen Liu. Threshold image segmentation based on dynamic mutation and background cooperation. 2015 IEEE Congress on Evolutionary Computation, CEC 2015: 3271-3278. [PDF]
6. Jingjing Ma, Yu Lei, Zhao Wang, Licheng Jiao, Ruochen Liu. A memetic algorithm based on Immune multi-objective optimization for flexible job-shop scheduling problems. 2014 IEEE Congress on Evolutionary Computation, CEC 2014: 58-65. [PDF]
7. Caihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao. A memetic algorithm using local structural information for detecting community structure in complex networks. 2014 IEEE Congress on Evolutionary Computation, CEC 2014: 680-686. [PDF]
8. Yangyang Li, Jing Chen, Ruochen Liu, Jianshe Wu. A spectral clustering-based adaptive hybrid multi-objective harmony search algorithm for community detection. 2012 IEEE Congress on Evolutionary Computation, CEC 2012: 1-8. [PDF]

 2012年-2017年授权国家发明专利

1. 刘若辰, 焦李成, 朱彬彬, 马晶晶, 马文萍, 张向荣, 王爽, 刘静. 一种基于新编码方式的遗传规划算法的图形图像识别与匹配算法. 授权号: ZL201410123497.6, 授权时间: 2017-02-15.
2. 刘若辰, 焦李成, 李冰杰, 刘红英, 王爽, 马晶晶, 张向荣, 尚荣华. 一种基于先验信息和网络固有信息的复杂网络社区检测方法. 授权号: ZL201410468395.8, 授权时间: 2017-02-15.
3. 刘若辰, 焦李成, 杨振庚, 王爽, 公茂果, 李阳阳, 马文萍. 一种基于遗传规划算法的图形图像检索方法. 授权号: ZL201410177761.4, 授权时间: 2017-02-08.
4. 刘若辰, 史文博, 焦李成, 刘静, 马文萍, 张向荣, 马晶晶, 王爽. 用于图形图像的k近邻局部搜索遗传自动聚类方法. 授权号: ZL201210391449.6, 授权时间: 2015-04-08.
5. 刘若辰, 张燕, 吴沛, 焦李成, 刘静, 李阳阳, 王爽, 马文萍. 基于自动聚类的粒子群优化分类方法. 授权号: ZL201210247371.0, 授权时间: 2014-12-17.
6. 刘若辰, 陈超, 张伟, 焦李成, 刘静, 马文萍, 李阳阳, 马晶晶, 王爽. 用于图像重构的二步学习矢量量化码书生成方法. 授权号: ZL201210151874.8, 授权时间: 2014-09-17.
7. 刘若辰, 唐丽娜, 焦李成, 李阳阳, 公茂果, 马文萍, 王爽, 朱虎明. 基于密母算法的图形检索方法. 授权号: ZL201210011614.0, 授权时间: 2014-03-12.
8. 刘若辰, 张伟, 焦李成, 刘芳, 公茂果, 王爽, 侯彪, 张向荣. 基于多目标免疫聚类集成的无监督图像分割方法. 授权号: ZL201010192821.1, 授权时间: 2012-02-08.
9. 刘若辰, 钮满春, 焦李成, 李阳阳, 尚荣华, 王爽, 公茂果, 马晶晶. 基于自适应PSO的人工免疫网络的遥感图像目标识别方法. 授权号: ZL201010013537.3, 授权时间: 2012-02-08.
10. 焦李成, 张伟, 刘若辰, 刘芳, 王爽, 公茂果, 李阳阳, 侯彪. 基于拉马克多目标免疫算法的纹理图像分割方法. 授权号: ZL201010188137.6, 授权时间: 2012-12-05.
11. 李阳阳, 相荣荣, 焦李成, 刘若辰, 公茂果, 马文萍, 尚荣华, 韩红. 基于协同量子粒子群算法的医学图像分割方法. 授权号: ZL201110366587.4, 授权时间: 2013-11-20.
12. 李阳阳, 陈静, 焦李成, 刘若辰, 公茂果, 马文萍, 尚荣华, 于昕. 基于共邻矩阵谱信息的多目标社区检测方. 授权号: ZL201210066846.6, 授权时间: 2014-07-09.