[1] |
王凌, 沈婧楠, 王圣尧 ,等. 协同进化算法研究进展[J]. 控制与决策, 2015,30(2): 193-202.
|
|
WANG L , SHEN J N , WANG S Y ,et al. Advances in co-evolutionary algorithms[J]. Control and Decision, 2015,30(2): 193-202.
|
[2] |
王万良, 张兆娟, 高楠 ,等. 基于人工智能技术的大数据分析方法研究进展[J]. 计算机集成制造系统, 2019,25(3): 529-547.
|
|
WANG W L , ZHANG Z J , GAO N ,et al. Research progress of big data analytics methods based on artificial intelligence technology[J]. Computer Integrated Manufacturing Systems, 2019,25(3): 529-547.
|
[3] |
GHEYAS I A , SMITH L S . Feature subset selection in large dimensionality domains[J]. Pattern Recognition, 2010,43(1): 5-13.
|
[4] |
张震, 魏鹏, 李玉峰 ,等. 改进粒子群联合禁忌搜索的特征选择算法[J]. 通信学报, 2018,39(12): 60-68.
|
|
ZHANG Z , WEI P , LI Y F ,et al. Feature selection algorithm based on improved particle swarm joint taboo search[J]. Journal on Communi-cations, 2018,39(12): 60-68.
|
[5] |
王晟, 王雪, 毕道伟 . 无线传感器网络遗传—禁忌搜索移动代理测量调度方法[J]. 通信学报, 2008,29(11): 194-199.
|
|
WANG S , WANG X , BI D W . Genetic algorithm-tabu search for mo-bile agents measurement scheduling in wireless sensor networks[J]. Journal on Communications, 2008,29(11): 194-199.
|
[6] |
叶苗, 王宇平, 代才 ,等. 无线传感器网络中新的最小暴露路径问题及其求解算法[J]. 通信学报, 2016,37(1): 49-60.
|
|
YE M , WANG Y P , DAI C ,et al. New minimum exposure path prob-lem and its solving algorithm in wireless sensor networks[J]. Journal on Communications, 2016,37(1): 49-60.
|
[7] |
GHEYAS I A , SMITH L S . Feature subset selection in large dimensionality domains[J]. Pattern Recognition, 2010,43(1): 5-13.
|
[8] |
SUN J , FENG B , XU W . Particle swarm optimization with particles having quantum behavior[C]// Proceedings of the 2004 Congress on Evolutionary Computation. Piscataway:IEEE Press, 2004: 325-331.
|
[9] |
LI L , JIAO L , ZHAO J ,et al. Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering[J]. Pattern Recognition, 2017,63: 1-14.
|
[10] |
LUKEMIRE J , MANDAL A , WONG W K . d-QPSO:a quantum-behaved particle swarm technique for finding d-optimal designs with discrete and continuous factors and a binary response[J]. Technometrics, 2019,61(1): 77-87.
|
[11] |
KIRKPATRICK S . Optimization by simulated annealing:quantitative studies[J]. Journal of Statistical Physics, 1984,34(5-6): 975-986.
|
[12] |
LU R , ZHAO X , LI J ,et al. Genomic characterisation and epidemiology of 2019 novel coronavirus:implications for virus origins and receptor binding[J]. The Lancet, 2020,395(10224): 565-574.
|
[13] |
WU A , PENG Y , HUANG B ,et al. Genome composition and divergence of the novel coronavirus(2019-nCoV) originating in China[J]. Cell Host & Microbe, 2020,27(3): 325-328.
|
[14] |
WANG S W , BITBOL A F , WINGREEN N S . Revealing evolutionary constraints on proteins through sequence analysis[J]. PLoS Computational Biology, 2019,15(4):e1007010.
|
[15] |
WANG Y K , BASHASHATI A , ANGLESIO M S ,et al. Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes[J]. Nature Genetics, 2017,49(6):856.
|
[16] |
TOOSI H , MOEINI A , HAJIRASOULIHA I . BAMSE:Bayesian model selection for tumor phylogeny inference among multiple samples[J]. BMC bioinformatics, 2019,20(11):282.
|
[17] |
XU A W . A fast and exact algorithm for the median of three problem:a graph decomposition approach[J]. Journal of Computational Biology, 2009,16(10): 1369-1381.
|
[18] |
FEIJ?O P . Reconstruction of ancestral gene orders using intermediate genomes[J]. BMC bioinformatics, 2015,16(14):S3.
|
[19] |
王万良 . 人工智能及其应用(第 4 版)[M]. 北京: 高等教育出版社, 2020.
|
|
WANG W L . Artificial intelligence:principles and applications[M]. 4rd Ed,Beijing: Higher Education Press, 2020.
|
[20] |
GAO N , YANG N , TANG J . Ancestral genome inference using a genetic algorithm approach[J]. PLoS One, 2013,8(5):e62156.
|
[21] |
GAO N , ZHANG Y , FENG B ,et al. A cooperative co-evolutionary genetic algorithm for tree scoring and ancestral genome inference[J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015,12(6): 1248-1254.
|
[22] |
XIA R , LIN Y , ZHOU J ,et al. A median solver and phylogenetic inference based on double-cut-and-join sorting[J]. Journal of Computational Biology, 2018,25(3): 302-312.
|
[23] |
YANCOPOULOS S , ATTIE O , FRIEDBERG R . Efficient sorting of genomic permutations by translocation,inversion and block interchange[J]. Bioinformatics, 2005,21(16): 3340-3346.
|