Karaboga D.An Idea Based on Honey Bee Swarm for Numerical Optimization[R].Kayseri:Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
[2]
高卫峰, 刘三阳, 黄玲玲.受启发的人工蜂群算法在全局优化问题中的应用[J].电子学报, 2012, 40(12):2398-2403. Gao Wei-feng, Liu San-yang, Huang Ling-ling.Inspired artificial bee colony algorithm for global optimization problems[J].Acta Electronica Sinica, 2012, 40(12):2398-2403.(in Chinese)
[3]
张银雪, 田学民, 邓晓刚.基于改进人工蜂群算法的盲源分离方法[J].电子学报, 2012, 40(10):2026-2030. Zhang Yinxue, Tian Xuemin, Deng Xiaogang.Blind source separation based on modified artificial bee colony algorithm[J].Acta Electronica Sinica, 2012, 40(10):2026-2030.(in Chinese)
[4]
Xie Chunli, Shao Cheng, Zhao Dandan.Parameters optimization of least squares support vector machines and its application[J].Journal of Computers, 2011, 6(9):1935-1941.
[5]
Yu Jieyue, Lin Jian.The ink preset algorithm based on the model optimized by chaotic bee colony[A].Proceedings of the 5th International Congress on Image and Signal Processing.[C].America:IEEE Computer Society, 2012.547-551.
[6]
李志勇, 李玲玲, 等.基于Memetic框架的混沌人工蜂群算法[J].计算机应用研究, 2012, 29(11):4045-4049. Li Zhi-yong, Li Ling-ling, et al.Chaos artificial bee colony based on Memetic framework[J].Application research of Computers, 2012, 29(11):4045-4049.(in Chinese)
[7]
Zhang Likang.An analysis of common search in Chinese of Google the meta library[J].Data Science Journal, 2007, 6(Supplement):813-823.
[8]
Vapnik V.The Nature of Statistical Learning Theory[M].New York:Springer Science Business Media, 2000.10-60.
[9]
Keerthi S S, Lin C J.Asymptotic behaviors of support vector machines with Gaussian kernel[J].Neural Computation, 2003, 15(7):1667-1689.
Zhao Mingyuan, Fu Chong, et al.Feature selection and parameter optimization for support vector machines:A new approach based on genetic algorithm with feature chromosomes[J].Expert Systems with Applications, 2011, 38(5):5197-5204.
[12]
Alwan H B, Ku-Mahamud K R.Solving support vector machine model selection problem using continuous ant colony optimization[J].International Journal of Information Processing and Management, 2013, 4(2):86-97.
[13]
Lin S W, Ying K C, et al.Particle swarm optimization for parameter determination and feature selection of support vector machines[J].Expert Systems with Applications, 2008, 35(4):1817-1824.
[14]
刘路, 王太勇.基于人工蜂群算法的支持向量机优化[J].天津大学报, 2011, 44(9):803-809. Liu Lu, Wang Taiyong.Support vector machine optimization based on artificial bee colony algorithm[J].Journal of Tianjin University, 2011, 44(9):803-809.(in Chinese)
Chuang L Y, Tsai S W, Yang C H.Fuzzy adaptive catfish particle swarm optimization[J].Artificial Intelligence Research, 2012, 1(2):149-170.
[17]
Muller K, Mike S, et al.An introduction to kernel-based learning algorithms[J].IEEE Transactions on Neural Networks, 2001, 12(2):181-201.
[18]
Chang C C, Lin C J.LIBSVM:A library for support vector machines[J].ACM Transactions on Intelligent Systems and Technology, 2011, 2(3):27:1——27:27.
[19]
Davide A, Alessandro G, et al.Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine[A].International Workshop of Ambient Assisted Living[C].Berlin Heidelberg:Springer Verlag, 2012.216-223.
[20]
Hamm J, Stone B, et al.Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams[M].Berlin Heidelberg:Springer Verlag, 2013.328-342.
[21]
Pekka S, Juha R.Recognizing human activities user-independently on smartphones based on accelerometer data[J].International Journal of Artificial Intelligence and Interactive Multimedia, 2012, 1(5):38-45.
