[1] KARABOGA D. An idea based on honey bee swarm for numerical optimization[R]. Kayseri:Erciyes University, 2005. [2] KARABOGA D, BASTURK B. On the performance of Artificial Bee Colony (ABC) algorithm[J]. Applied Soft Computing, 2008, 8(1):687-697. [3] 李乔,郑啸.云计算研究现状综述[J].计算机科学,2011,38(4):32-37.(LI Q, ZHENG X. Research survey of cloud computing[J]. Computer Science, 2011, 38(4):32-37.) [4] 林闯,苏文博,孟坤,等.云计算安全:架构、机制与模型评价[J].计算机学报,2013,36(9):1765-1784.(LIN C, SU W B, MENG K, et al. Cloud computing security:architecture, mechanism and modeling[J]. Chinese Journal of Computers, 2013, 36(9):1765-1784.) [5] GHEMAWAT S, GOBIOFF H, LEUNG S. The Google file system[C]//SOSP 2003:Proceedings of the Nineteenth ACM Symposium on Operating Systems Principles. New York:ACM Press, 2003:29-43. [6] CHANG F, DEAM J, GHEMAWAT S, et al. Bigtable:a distributed storage system for structured data[J]. ACM Transactions on Computer Systems, 2008, 26(2):205-218. [7] DEAN J, GHEMAWAT S. MapReduce:simplified data processing on large clusters[J]. Communications of the ACM, 2008, 51(1):107-117. [8] 李建中,王宏志,高宏.大数据可用性的研究进展[J].软件学报,2016,27(7):1605-1625.(LI J Z, WANG H Z, GAO H. State-of-the-art of research on big data usability[J]. Journal of Software, 2016, 27(7):1605-1625.) [9] 宋杰,刘雪冰,朱志良,等.一种能效优化的MapReduce资源比模型[J].计算机学报,2015,38(1):59-73.(SONG J, LIU X B, ZHU Z L, et al. An energy-efficiency optimized resource ratio model for MapReduce[J]. Chinese Journal of Computers, 2015, 38(1):59-73.) [10] Alitouka. Spark-DBSCAN[EB/OL].[2016-10-23]. https://github.com/alitouka/spark_dbscan. [11] 王桂兰,周国亮,萨初日拉,等.Spark环境下的并行模糊C均值聚类算法[J].计算机应用,2016,36(2):342-347.(WANG G L, ZHOU G L, SA C, et al. Parallel fuzzy C-means clustering algorithm in Spark[J]. Journal of Computer Applications, 2016, 36(2):342-347.) [12] 牛海玲,鲁慧民,刘振杰.基于Spark的Apriori算法的改进[J].东北师大学报(自然科学版),2016,48(1):84-89.(NIU H L, LU H M, LIU Z J. The improvement and research of Apriori algorithm based on Spark[J]. Journal of Northeast Normal University (Natural Science Edition), 2016, 48(1):84-89.) [13] SABET S, FAROKHI F, SHOKOUHIFAR M. A novel artificial bee colony algorithm for the knapsack problem[C]//INISTA 2012:Proceedings of the 2012 International Symposium on Innovations in Intelligent Systems and Applications. Piscataway, NJ:IEEE, 2012:141-151. [14] 杨进,马良.蜂群优化算法在车辆路径问题中的应用[J].计算机工程与应用,2010,46(5):214-216.(YANG J, MA L. Wasp colony algorithm for vehicle routing problem[J]. Computer Engineering and Applications, 2010, 46(5):214-216.) [15] 张维平,任雪飞,李国强,等.改进的万有引力搜索算法在函数优化中的应用[J].计算机应用,2013,35(5):1317-1320.(ZHANG W P, REN X F, LI G Q, et al. Improved gravitation search algorithm and its application to function optimization[J]. Journal of Computer Applications, 2013, 35(5):1317-1320.) [16] 胡中华,赵敏.基于人工蜂群算法的TSP仿真[J].北京理工大学学报,2009,29(11):978-982.(HU Z H, ZHAO M. Simulation on Traveling Salesman Problem (TSP) based on artificial bees colony algorithm[J]. Transaction of Beijing Institute of Technology, 2009, 29(11):978-982.) [17] 王诏远,王宏杰,邢焕来,等.基于Spark的蚁群优化算法[J].计算机应用,2015,35(10):2777-2780.(WANG Z Y, WANG H J, XING H L, et al. Ant colony optimization algorithm based on Spark[J]. Journal of Computer Applications, 2015, 35(10):2777-2780.) [18] CUI W, LI X, ZHOU S, et al. Investigation on process parameters of electrospinning system through orthogonal experimental design[J]. Journal of Applied Polymer Science, 2007, 103(5):3105-3112. [19] XING H, QU R, KENDALL G, et al. A path-oriented encoding evolutionary algorithm for network coding resource minimization[J] Journal of the Operational Research Society, 2013, 65(8):1261-1277. |