参考文献

[1] Nature. Big Data. [2012-10-02]. http://www.nature.com/news/specials/bigdata/index.html.

[2] Bryant R E, Katz R H, Lazowska E D. Big-Data computing: Creating revolutionary breakthroughs in commerce, science, and society. [2012-10-02].http://www.cra.org/ccc/docs/init/Big_Data.pdf.

[3] Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www.sciencemag.org/site/special/data/, 2011

[4] D Agrawal, P Bernstein, E Bertino, et al. Challenges and opportunities with big data-A community white paper developed by leading researchers across the United States. [2012-10-02]. http://cra.org/ccc/.

[5] H S Lin. 数据挖掘技术与工程实践. 洪松林，译. 北京：机械工业出版社，2014.

[6] N JNilsson. 人工智能. 郑扣根，译. 北京：机械工业出版社，2000.

[7] 史忠植. 高级人工智能. 北京：科学出版社，1998.

[8] G. E Hinton., Osindero, S. and Teh, Y., A fast learning algorithm for deep belief netsNeural Computation 18: 1527-1554, 2006.

[9] Min Gui, Anil Pahwa, Sanjoy Das. Analysis of Animal-Related Outages in Overhead Distribution Systems with Wavelet Decomposition and ImmuneSystems-Based Neural Networks. IEEE Transactions on Power Systems, 2009, 24(4): 1765-1771.

[10] Muhammad Rahmat Widyanto, Benyamin Kusumoputro, Hajime Nobuhara, etal. A Fuzzy-Similarity-Based Self-Organized Network Inspired by ImmuneAlgorithm for Three-Mixture-Fragrance Recognition. IEEE Transactions on Industrial Electronics, 2006, 53(1): 313-321.

[11] Cai KaiYuan, Lei Zhang. Fuzzy Reasoning as a Control Problem. IEEE Transactions on Fuzzy Systems, 2008, 16(3): 600-614.

[12] Licheng Jiao, Lei Wang. A Novel Genetic Algorithm Based on Immunity. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 2000, 30(3): 552-561.

[13] Ashish Ahuja, Sanjoy Das, Anil Pahwa. An AIS-ACO Hybrid Approach for Multi-ObjectiveDistribution System Reconfiguration. IEEE Transactions on Power Systems, 2007, 22(3): 1101-1112.

[14] Marco Dorigo, Gianni Di Caro. Ant Algorithms for Discrete Optimization.Artificial Life, 1999, 5(3): 137-172.

[15] Hong-Wei Ge, Liang Sun, Yan-Chun Liang, etal. An Effective PSO and AIS-Based Hybrid Intelligent Algorithm for Job-Shop Scheduling. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 2008, 38(2): 358-368.

[16] 焦李成，杜海峰，刘芳，等. 免疫优化计算学习与识别. 北京：科学出版社，2007.

[17] Dipankar Dasgupta, Advances in artificial immune systems. IEEE Computational Intelligence Magazine, 2006, 1(4): 40-49.

[18] De Castro L N, Von Zuben F J. Learning and optimization using the clonal selection principle. IEEE Trans on Evolutionary Computation, 2002, 6(1):239-251.

[19] 戚玉涛，刘芳，焦李成. 基于分布式人工免疫算法的数值优化. 电子学报，2009，37（7）：1554-1561.

[20] 薛文涛，吴晓蓓，徐志良. 用于多峰函数优化的免疫粒子群网络算法. 系统工程与电子技术，2009，31（3）：705-709.

[21] 戚玉涛，刘芳，焦李成. 基于信息素模因的免疫克隆选择函数优化. 计算机研究与发展，2008，45（6）：991-997.

[22] 余航，焦李成，公茂果，等. 基于正交试验设计的克隆选择函数优化. 软件学报，2010，21（5）：950-967.

[23] 戚玉涛，焦李成，刘芳. 基于并行人工免疫算法的大规模TSP问题求解. 电子学报，2008，36（8）：1552-1558.

[24] Anna_SSwiecicka, Franciszek Seredynski, Albert Y. Zomaya. Multiprocessor Scheduling and Reschedulingwith Use of Cellular Automata and Artificial Immune System Support. IEEE Transactions on Parallel and Distributed Systems, 2006, 17(3): 253-262.

[25] Licheng Jiao, Yangyang Li, Maoguo Gong, etal. Quantum-Inspired Immune Clonal Algorithm for Global Optimization. IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics, 2008, 38(5): 1234-1433.

[26] Felipe Campel, Frederico G. Guimarães, Hajime Igarashi. Multiobjective Optimization Using Compromise Programming and an Immune Algorithm. IEEE Transactions on Magnetics, 2008, 44(6): 982-985.

[27] Aldo Canova, Fabio Freschi, Michele Tartaglia. Multiobjective Optimization of Parallel Cable Layout. IEEE Transactions on Magnetics, 2007, 43(10):3914-3920.

[28] Xiong Hao, Sun Cai-xin. Artificial Immune Network Classification Algorithm for Fault Diagnosis of Power Transformer. IEEE Transactions on Power Delivery, 2007, 22(2): 930-935.

[29] Slavisa Sarafijanovic, Jean-Yves Le Boudec. An Artificial Immune System Approach WithSecondary Response for Misbehavior Detection in Mobile adhoc Networks. IEEE Transactions on Neural Networks, 2005, 16(5): 1076-1087.

[30] Rogerio de Lemos, Jon Timmis, Modupe Ayara, etal. Immune-Inspired Adaptable Error Detectionfor Automated Teller Machines. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2007, 37(5): 873-886.

[31] Famer J D, Packard N H, Perelson A S. The Immune System, Adaptation, and Machine Learning. Physicia D, 1986, (2):187-204.

[32] Dasgupta D, Forrest S. Artificial immune systems in industrial applications. In: Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. 1999, (1): 257-267.

[33] Dasgupta D, Attoh Okine N. Immunity based systems: A survey. In: Proceedings of IEEE International Conference on Systems, Man, and Cybernetics. 1997, (1):369-374.

[34] 王磊，潘近，焦李成. 免疫算法. 电子学报，2000，28（7）：74-78.

[35] 焦李成，杜海峰，刘芳，等. 免疫优化计算学习与识别. 北京：科学出版社，2006：11-114.

[36] De Castro L N, Von Zuben F J. The Clonal Selection Algorithm with Engineering Applications[C]. In: Proceedings of GECCO’00 Workshop on Artificial Immune Systems and Their Applications, 2000, (1): 36-37.

[37] Dasgupta D. Artificial Neural Networks and Artificial Immune Systems: Similarities and Differences. In: Proceedings of the IEEE SMC, 1997, (1):873-878.

[38] Ishida Y. Fully Distributed Diagnosis by PDP Learning Algorithm: Towards Immune Network PDP Model. In: Proceedings of International Joint Conference on Neural Networks, San Diego, USA, 1990: 777-782.

[39] Y. Yu, Z.-H. Zhou. A new approach to estimating the expected first hitting time of evolutionary algorithms. Artificial Intelligence, 2008, 172(15): 1809-1832.

[40] Y. Yu, X. Yao, Z.-H. Zhou. On the approximation ability of evolutionary optimization with application to minimum set cover. Artificial Intelligence, 2012, 180-181: 20-33.

[41] C. Qian, Y. Yu, Z.-H. Zhou. On constrained boolean pareto optimization. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, 2015: 389-395.

[42] C. Qian, Y. Yu, Z.-H. Zhou. An analysis on recombination in multi-objective evolutionary optimization. Artificial Intelligence, 2013, 204: 99-119.

[43] C. Qian, Y. Yu, Z.-H. Zhou. Pareto ensemble pruning. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence, Austin, TX, 2015:2935-2941.

[44] C. Qian, Y. Yu, Z.-H. Zhou. Subset selection by Pareto optimization. In: Advances in Neural Information Processing Systems 28, Cambridge, MA:MIT Press, 2015, in press.

[45] 陈康，向勇，喻超. 大数据时代机器学习的新趋势. 电信科学，2013，28（12）：88-95.

[46] G. W. Zhang, Z. H. Zhan, K. J. Du, Y. Lin, W. N. Chen, J. J. Li, J. Zhang. Parallel particle swarm optimization using message passing interface. In: Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Singapore, 2014: 55-64.

[47] Z. H. Zhan, X. F. Liu, Y. J. Gong, J. Zhang, H. S. H. Chung, Y. Li. Cloud computing resource scheduling and a survey of its evolutionary approaches. ACM Computing Surveys, 2015, 47(4): 1-33.

[48] W. Z. Zhao, H. F. Ma, Q. He. Parallel k-means clustering based on Mapreduce. In: Lecture Notes in Computer Science 5931, Springer Berlin Heidelberg, 2009: 674-679.

[49] J. Zhang, Z. H. Zhan, Y. Lin, N. Chen, Y. J. Gong, J. H. Zhong. Evolutionary computation meets machine learning: A survey. IEEE Computational Intelligence Magazine, 2011, 6(4): 68-75.

[50] 何清，李宁，罗文娟，等. 大数据下的机器学习算法综述. 模式识别与人工智能，2014，27（4）：327-336.

[51] 何清，庄福振，曾立，等.PDMiner：基于云计算的并行分布式数据挖掘工具平台. 中国科学（F辑）信息科学，2014，44（7）：871-885.

[52] J. Chen, K. Li, J. Zhu, W. Chen. WarpLDA: A simple and efficient O(1) algorithm for latent Dirichlet allocation. arXiv:1510.08628, 2015.

[53] 李武军，周志华. 大数据哈希学习：现状与趋势. 科学通报，2015，60（5/6）：485-490.

[54] Y. Weiss, A. Torralba, R. Fergus. Spectral hashing. In: Advances in Neural Information Processing Systems 21, Cambridge, MA: MIT Press, 2008:1753-1760.

[55] De Castro L N, Von Zuben F J. An Evolutionary Immune Network for Data Clustering. In: Proceedings of the IEEE SBRN, 2000: 84-89.

[56] 刘若辰，杜海峰，焦李成. 免疫多克隆策略. 计算机研究与发展，2004，41（4）：571-576.

[57] Alex A. Freitas, Jon Timmis. Revisiting the Foundations of Artificial Immune Systems for Data Mining. IEEE Trans on Evolutionary Computation, 2007,11(4): 521-540.

[58] Tien Dung Do, Siu Cheung Hui, A. C. M. Fong, etal. Associative Classification WithArtificial Immune System. IEEE Transactions on Evolutionary Computation, 2009, 13(2): 217-238.

[59] Seralozs, en, Salih Gunes, Sadk Kara, etal. Use of Kernel Functions in Artificial ImmuneSystems for the Nonlinear Classification Problems. IEEE transactions on information technology in biomedicine, 2009, 13(4): 621-628.