WANG Y C, KUNG L, BYRD T A. Big Data Analytics: Understanding Its Capabilities and Potential Benefits for Healthcare Organizations[J]. Technological Forecasting and Social Change, 2018, 126(1): 3-13.
BEAM A L, KOHANE I S. Big Data and Machine Learning in Health Care[J]. JAMA, 2018, 319(13): 1317-1318. doi: 10.1001/jama.2017.18391
KONG F S, LIN X L. The Method and Application of Big Data Mining for Mobile Trajectory of Taxi Based on MapReduce[J]. Cluster Computing, 2019, 22(5): 11435-11442.
OUSSOUS A, BENJELLOUN F Z, AIT LAHCEN A, et al. Big Data Technologies: a Survey[J]. Journal of King Saud University-Computer and Information Sciences, 2018, 30(4): 431-448. doi: 10.1016/j.jksuci.2017.06.001
ROY C, RAUTARAY S S, PANDEY M. Big Data Optimization Techniques: A Survey[J]. International Journal of Information Engineering & Electronic Business, 2018, 10(4): 41-48.
WU C R, ZAPEVALOVA E, CHEN Y, et al. Time Optimization of Multiple Knowledge Transfers in the Big Data Environment[J]. Computers, Materials & Continua, 2018, 54(3): 269-285.
王小君. 基于人工蜂群算法的数据分类感知研究[J]. 计算机与数字工程, 2018, 46(5): 866-869, 915.
CAO Y C, LU Y, PAN X Q, et al. An Improved Global Best Guided Artificial Bee Colony Algorithm for Continuous Optimization Problems[J]. Cluster Computing, 2019, 22(2): 3011-3019.
BRAJEVI CI, STANIMIROVI CP S, LI S, et al. A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm[J]. International Journal of Computational Intelligence Systems, 2020, 13(1): 810-821. doi: 10.2991/ijcis.d.200612.001
SUN Y, GAO Y L. An Efficient Modified Particle Swarm Optimization Algorithm for Solving Mixed-Integer Nonlinear Programming Problems[J]. International Journal of Computational Intelligence Systems, 2019, 12(2): 530-543. doi: 10.2991/ijcis.d.190402.001
SHUKLA S, JAIN M. A Novel System for Effective Speech Recognition Based on Artificial Neural Network and Opposition Artificial Bee Colony Algorithm[J]. International Journal of Speech Technology, 2019, 22(4): 959-969. doi: 10.1007/s10772-019-09639-0
WANG H, ZHOU X Y, SUN H, et al. Firefly Algorithm with Adaptive Control Parameters[J]. Soft Computing, 2017, 21(17): 5091-5102. doi: 10.1007/s00500-016-2104-3
YI J H, DEB S, DONG J Y, et al. An Improved NSGA-III Algorithm with Adaptive Mutation Operator for Big Data Optimization Problems[J]. Future Generation Computer Systems, 2018, 88(11): 571-585.
MAFARJA M, ALJARAH I, HEIDARI A A, et al. Binary Dragonfly Optimization for Feature Selection Using TimeVarying Transfer Functions[J]. Knowledge-Based Systems, 2018, 161(12): 185-204.
KARABOGA D, KAYA E. Training ANFIS by Using an Adaptive and Hybrid Artificial Bee Colony Algorithm(aABC)for the Identification of Nonlinear Static Systems[J]. Arabian Journal for Science and Engineering, 2019, 44(4): 3531-3547. doi: 10.1007/s13369-018-3562-y
EL MAJDOULI M A, RBOUH I, BOUGRINE S, et al. Fireworks Algorithm Framework for Big Data Optimization[J]. Memetic Computing, 2016, 8(4): 333-347. doi: 10.1007/s12293-016-0201-6