[1] 张新雨, 刘丁, 杨文, 杨延西.基于人工鱼群霍夫变换的单晶硅直径检测.仪器仪表学报, 2014, 35(4):940-947 http://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201404031.htm

Zhang Xin-Yu, Liu Ding, Yang Wen, Yang Yan-Xi. Diameter detection of single crystal silicon based on artificial fish swarm algorithm-Hough transform. Chinese Journal of Scientific Instrument, 2014, 35(4):940-947 http://www.cnki.com.cn/Article/CJFDTOTAL-YQXB201404031.htm
[2] Lan C W. Recent progress of crystal growth modeling and growth control. Chemical Engineering Science, 2004, 59(7):1437-1457 doi: 10.1016/j.ces.2004.01.010
[3] Hurle D T J. Control of diameter in Czochralski and related crystal growth techniques. Journal of Crystal Growth, 1977, 42:473-482 doi: 10.1016/0022-0248(77)90233-0
[4] Takagi K, Ikeda T, Fukazawa T, Ishii M. Growth striae in single crystals of gadolinium gallium garnet grown by automatic diameter control. Journal of Crystal Growth, 1977, 38(2):206-212 doi: 10.1016/0022-0248(77)90299-8
[5] Liu D, Liang J L. A Bayesian approach to diameter estimation in the diameter control system of silicon single crystal growth. IEEE Transactions on Instrumentation and Measurement, 2011, 60(4):1307-1315 doi: 10.1109/TIM.2010.2086610
[6] Cai H M, Yang Z, Cao X H, Xia W M, Xu X Y. A new iterative triclass thresholding technique in image segmentation. IEEE Transactions on Image Processing, 2014, 23(3):1038-1046 doi: 10.1109/TIP.2014.2298981
[7] Gong M G, Liang Y, Shi J, Ma W P, Ma J J. Fuzzy C-means clustering with local information and kernel metric for image segmentation. IEEE Transactions on Image Processing, 2013, 22(2):573-584 doi: 10.1109/TIP.2012.2219547
[8] Zhu L J, Gao Y, Appia V, Yezzi A, Arepalli C, Faber T, Stillman A, Tannenbaum A. Automatic delineation of the myocardial wall from CT images via shape segmentation and variational region growing. IEEE Transactions on Bio-Medical Engineering, 2013, 60(10):2887-2895 doi: 10.1109/TBME.2013.2266118
[9] Jalba A C, Westenberg M A, Roerdink J B T M. Interactive segmentation and visualization of DTI data using a hierarchical watershed representation. IEEE Transactions on Image Processing, 2015, 24(3):1025-1035 doi: 10.1109/TIP.2015.2390139
[10] Wang F L, Wang F. Void detection in TSVs with X-ray image multithreshold segmentation and artificial neural networks. IEEE Transactions on Components, Packaging and Manufacturing Technology, 2014, 4(7):1245-1250 doi: 10.1109/TCPMT.2014.2322907
[11] Wang D, Xie X, Li G L, Yin Z, Wang Z H. A lumen detection-based intestinal direction vector acquisition method for wireless endoscopy systems. IEEE Transactions on BioMedical Engineering, 2015, 62(3):807-819 doi: 10.1109/TBME.2014.2365016
[12] 刘健庄, 栗文清.灰度图象的二维Otsu自动阈值分割法.自动化学报, 1993, 19(1):101-105 http://www.aas.net.cn/CN/Y1993/V19/I01/101

Liu Jian-Zhuang, Li Wen-Qing. The automatic thresholding of gray-level pictures VLA two-dimension Otsu method. Acta Automatica Sinica, 1993, 19(1):101-105 http://www.aas.net.cn/CN/Y1993/V19/I01/101
[13] 吴一全, 吴文怡, 潘喆.二维直方图区域斜分Otsu阈值分割的快速迭代算法.工程图学学报, 2009, 30(5):89-96 http://www.cnki.com.cn/Article/CJFDTOTAL-GCTX200905016.htm

Wu Yi-Quan, Wu Wen-Yi, Pan Zhe. A fast iterative algorithm of the Otsu threshold based on two-dimensional histogram oblique segmentation. Journal of Engineering Graphics, 2009, 30(5):89-96 http://www.cnki.com.cn/Article/CJFDTOTAL-GCTX200905016.htm
[14] 吴一全, 潘喆, 吴文怡.二维直方图区域斜分的最大熵阈值分割算法.模式识别与人工智能, 2009, 22(1):162-168 http://www.cnki.com.cn/Article/CJFDTOTAL-MSSB200901026.htm

Wu Yi-Quan, Pan Zhe, Wu Wen-Yi. Maximum entropy image thresholding based on two-dimensional histogram oblique segmentation. Pattern Recognition and Artificial Intelligence, 2009, 22(1):162-168 http://www.cnki.com.cn/Article/CJFDTOTAL-MSSB200901026.htm
[15] Guo W Y, Wang X F, Xia X Z. Two-dimensional Otsu's thresholding segmentation method based on grid box filter. Optik-International Journal for Light and Electron Optics, 2014, 125(18):5234-5240 doi: 10.1016/j.ijleo.2014.05.003
[16] 范朝冬, 张英杰, 欧阳红林, 肖乐意.基于改进斜分Otsu法的回转窑火焰图像分割.自动化学报, 2014, 40(11):2480-2489 http://www.aas.net.cn/CN/Y2014/V40/I11/2480

Fan Chao-Dong, Zhang Ying-Jie, Ouyang Hong-Lin, Xiao Le-Yi. Improved Otsu method based on histogram oblique segmentation for segmentation of rotary kiln flame image. Acta Automatica Sinica, 2014, 40(11):2480-2489 http://www.aas.net.cn/CN/Y2014/V40/I11/2480
[17] Deb K, Pratap A, Agarwal S, Meyarivan T. A fast and elitist multiobjective genetic algorithm:NSGA-II. IEEE Transactions on Evolutionary Computation, 2002, 6(2):182-197 doi: 10.1109/4235.996017
[18] Coello C A C, Pulido G T, Lechuga M S. Handling multiple objectives with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 2004, 8(3):256-279 doi: 10.1109/TEVC.2004.826067
[19] 左兴权, 王春露, 赵新超.一种结合多目标免疫算法和线性规划的双行设备布局方法.自动化学报, 2015, 41(3):528-540 http://www.aas.net.cn/CN/Y2015/V41/I3/528

Zuo Xing-Quan, Wang Chun-Lu, Zhao Xin-Chao. Combining multi-objective immune algorithm and linear programming for double row layout problem. Acta Automatica Sinica, 2015, 41(3):528-540 http://www.aas.net.cn/CN/Y2015/V41/I3/528
[20] 朱大林, 詹腾, 张屹, 郑小东.多策略差分进化的元胞多目标粒子群算法.电子学报, 2014, 42(9):1831-1838 http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201409026.htm

Zhu Da-Lin, Zhan Teng, Zhang Yi, Zheng Xiao-Dong. Cellular multi-objective particle swarm algorithm based on multi-strategy differential evolution. Acta Electronica Sinica, 2014, 42(9):1831-1838 http://www.cnki.com.cn/Article/CJFDTOTAL-DZXU201409026.htm
[21] 胡旺, Yen G G, 张鑫.基于Pareto熵的多目标粒子群优化算法.软件学报, 2014, 25(5):1025-1050 http://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201405009.htm

Hu Wang, Yen G G, Zhang Xin. Multiobjective particle swarm optimization based on Pareto entropy. Journal of Software, 2014, 25(5):1025-1050 http://www.cnki.com.cn/Article/CJFDTOTAL-RJXB201405009.htm
[22] 汪照, 李有明, 陈斌, 邹婷.基于鱼群算法的OFDMA自适应资源分配.物理学报, 2013, 62(12):128802-1-128802-7 http://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201312072.htm

Wang Zhao, Li You-Ming, Chen Bin, Zou Ting. OFDMA adaptive resource allocation based on fish swarm algorithm. Acta Physica Sinica, 2013, 62(12):128802-1-128802-7 http://www.cnki.com.cn/Article/CJFDTOTAL-WLXB201312072.htm
[23] 孔维健, 柴天佑, 丁进良, 吴志伟.镁砂熔炼过程全厂电能分配实时多目标优化方法研究.自动化学报, 2014, 40(1):51-61 http://www.aas.net.cn/CN/Y2014/V40/I1/51

Kong Wei-Jian, Chai Tian-You, Ding Jin-Liang, Wu Zhi-Wei. A real-time multiobjective electric energy allocation optimization approach for the smelting process of magnesia. Acta Automatica Sinica, 2014, 40(1):51-61 http://www.aas.net.cn/CN/Y2014/V40/I1/51
[24] 夏立荣, 李润学, 刘启玉, 耿志强.基于动态层次分析的自适应多目标粒子群优化算法及其应用.控制与决策, 2015, 30(2):215-221 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201502003.htm

Xia Li-Rong, Li Run-Xue, Liu Qi-Yu, Geng Zhi-Qiang. An adaptive multi-objective particle swarm optimization algorithm based on dynamic AHP and its application. Control and Decision, 2015, 30(2):215-221 http://www.cnki.com.cn/Article/CJFDTOTAL-KZYC201502003.htm
[25] Carreno Jara E. Multi-optimization by using evolutionary algorithms:the p-optimality criteria. IEEE Transactions on Evolutionary Computation, 2014, 18(2):167-179 doi: 10.1109/TEVC.2013.2243455