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Computer measurement and control, 2016, 24(5): 237–241. [51] BAI Jing, YANG Lihong, ZHANG Xueying. Parameter optimization and application of support vector machine based on parallel artificial fish swarm algorithm[J]. Journ￾al of software, 2013, 8(3): 673–679. [52] LIN Kuancheng, CHEN S Y, HUNG J C. Feature selec￾tion and parameter optimization of support vector ma￾chines based on modified artificial fish swarm algorithms [J]. Mathematical problems in engineering, 2015, 2015: 604108. [53] LIN Kuancheng, CHEN S Y, HUNG J C. Botnet detection using support vector machines with artificial fish swarm al￾gorithm[J]. Journal of applied mathematics, 2014, 2014: 986428. [54] KARABOGA D. An idea based on honey bee swarm for numerical optimization[R]. Kayseri: Computer Engineer￾ing Department, 2005. [55] NG K K H, LEE C K M. Makespan minimization in air￾craft landing problem under congested traffic situation us￾ing modified artificial bee colony algorithm[C]//Proceed￾ings of 2016 IEEE International Conference on Industrial Engineering and Engineering Management. Bali, Indone￾sia, 2016: 750–754. [56] 刘敏, 邹杰, 冯星, 等. 人工蜂群算法的无人机航路规划 与平滑[J]. 智能系统学报, 2011, 6(4): 344–349. LIU Min, ZOU Jie, FENG Xing, et al. Smooth trajectory planning of an unmanned aerial vehicle using an artificial bee colony algorithm[J]. CAAI transactions on intelligent systems, 2011, 6(4): 344–349. [57] 第 1 期 李素，等：群智能算法优化支持向量机参数综述 ·81·