Computer Science ›› 2018, Vol. 45 ›› Issue (10): 212-216.doi: 10.11896/j.issn.1002-137X.2018.10.039
• Artificial Intelligence • Previous Articles Next Articles
HUO Jiu-yuan, WANG Ye, HU Zhuo-ya
CLC Number:
[1]KARABOGA D.An idea based on honey bee swarm fornumerical optimization[R].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]HORNG M H.Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation[J].Expert Systems with Applications,2011,38(11):13785-13791. [4]GAO W F,LIU S Y.A modified artificial bee colony algorithm[J].Computers & Operations Research,2012,39(3):687-697. [5]ALKIN Y,ERDAL E.A discrete artificial bee colony algorithm for single machine scheduling problems [J].International Journal of Production Research,2016,54(22):6860-6878. [6]YU W Y,HU D,TIAN N,et al.A novel search method based on artificial bee colony algorithm for block motion estimation[J].EURASIP Journal on Image & Video Processing,2017,2017(1):66. [7]ONDER B,FATIH T M.An artificial bee colony algorithm for the economic lot scheduling problem[J].International Journal of Production Research,2014,52(4):1150-1170. [8]KUANG F J,XU Y H,JIN Z.Artificial bee colony algorithm based on adaptive Tent chaotic search [J].Control Theory and Application,2014,31(11):1502-1509.(in Chinese) 匡芳君,徐蔚鸿,金忠.自适应Tent混沌搜索的人工蜂群算法[J].控制理论与应用,2014,31(11):1502-1509. [9]LUO J,LI Y.Swarm optimization algorithm with chaotic search strategy [J].Control and Decision,2010,25(12):1913-1916.(in Chinese) 罗钧,李研.具有混沌搜索策略的蜂群优化算法[J].控制与决策,2010,25(12):1913-1916. [10]ELKHATEEB N,BADR R.A Novel Variable Population Size Artificial Bee Colony Algorithm with Convergence Analysis for Optimal Parameter Tuning[J].International Journal of Computational Intelligence & Applications,2017,16(3):1-15. [11]ZAZAS I,DALEY S.Stability and convergence analysis for different harmonic control algorithm implementations[J].Journal of Vibration & Control,2017,23(8):1231-1247. [12]BONYADI,REZA M,ZBIGNIEW M.Analysis of Stability,Local Convergence,and Transformation Sensitivity of a Variant of the Particle Swarm Optimization Algorithm[J].IEEE Transactions on Evolutionary Computation,2016,20(3):370-385. [13]KIM S E,LEE J W,SONG W J.A noise-resilient affine projection algorithm and its convergence analysis[J].Signal Proces-sing,2016,121:94-101. [14]BONITO A,PASCIAK J E.Convergence analysis of variational and non-variational multigrid algorithms for the laplace-beltrami operator[J].Mathematics of Computation,2011,81(279):1263-1288. [15]REN Z H,WANG J,GAO Y L.The global convergence analysis of particle swarm optimization algorithm based on Markov China[J].Control Theory and Applications,2011,28(4):462-466.(in Chinese) 任子晖,王坚,高岳林.马尔科夫链的粒子群优化算法全局收敛性分析[J].控制理论与应用,2011,28(4):462-466. [16]CLEGHORN C W,ENGELBRECHT A P,et al.Particle swarm variants:standardized convergence analysis[J].Swarm Intelligence,2015,9(2/3):1935-3812. [17]DANTAS A F O D A,MAITELLI A L,et al.A Modified Matricial PSO Algorithm Applied to System Identification with Convergence Analysis[J].Journal of Control,Automation and Electrical Systems,2015,26(2):149-158. [18]NING A P,ZHANG X Y.Convergence analysis of artificial bee colony algorithm [J].Control and Decision,2013,28(10):1554-1558.(in Chinese) 宁爱平,张雪英.人工蜂群算法的收敛性分析[J].控制与决策,2013,28(10):1554-1558. [19]KONG X Y,LIU S Y,WANG Z.Almost sure convergence of artificial bee colony algorithm:martingale method[J].Computer Science,2015,42(9):246-248.(in Chinese) 孔翔宇,刘三阳,王贞.人工蜂群算法的几乎必然强收敛性:鞅方法[J].计算机科学,2015,42(9):246-248. [20]ZHU G,KWONG S.Gbest-guided artificial bee colony algo- rithm for numerical function optimization[J].Applied Mathematics and Conference on Computation,2010,217(2):3166-3177. [21]陈爱江,张文良.概率论与数理统计[M].北京:中国质检出版社,2011. |
[1] | SHI Ke-xiang, BAO Li-yong, DING Hong-wei, GUAN Zheng, ZHAO Lei. Chaos Artificial Bee Colony Algorithm Based on Homogenizing Optimization of Generated Time Series [J]. Computer Science, 2021, 48(7): 270-280. |
[2] | ZHANG Kai, LIU Jing-ju. Attack Path Analysis Method Based on Absorbing Markov Chain [J]. Computer Science, 2021, 48(5): 294-300. |
[3] | WU Pei-pei, WU Zhao-xian, TANG Wen-bing. Real-time Performance Analysis of Intelligent Unmanned Vehicle System Based on Absorbing Markov Chain [J]. Computer Science, 2021, 48(11A): 147-153. |
[4] | WEI De-bin,YANG Peng,YANG Li,SHI Huai-feng. Virtual Network Function Fast Mapping Algorithm over Satellite Network [J]. Computer Science, 2020, 47(3): 248-254. |
[5] | HUANG Guang-qiu,LU Qiu-qin. Protected Zone-based Population Migration Dynamics Optimization Algorithm [J]. Computer Science, 2020, 47(2): 186-194. |
[6] | GUO Jia. Method of Predicting Performance of Storage System Based on Improved Artificial Neural Network [J]. Computer Science, 2019, 46(6A): 52-55. |
[7] | ZHAO Xin-wei, LIU Wei. MANET Routing Discovery and Establishment Strategy Based on Node State [J]. Computer Science, 2019, 46(6): 112-117. |
[8] | MU Xiao-fang, DENG Hong-xia, LI Xiao-bin, ZHAO Peng. Two-phase Image Steganalysis Algorithm Based on Artificial Bee Colony Algorithm [J]. Computer Science, 2019, 46(6): 174-179. |
[9] | WANG Xue-jian, ZHAO Guo-lei, CHANG Chao-wen, WANG Rui-yun. Illegal Flow Analysis for Lattice Model of Information Flow [J]. Computer Science, 2019, 46(2): 139-144. |
[10] | YUAN Pei-yan, ZHANG Hao. Energy Efficient Routing Algorithm in Mobile Opportunistic Networks [J]. Computer Science, 2019, 46(11A): 387-392. |
[11] | MA Wen-kai, LI Gui, LI Zheng-yu, HAN Zi-yang, CAO Ke-yan. Top-N Personalized Recommendation Algorithm Based on Tag [J]. Computer Science, 2019, 46(11A): 224-229. |
[12] | MAO Ying-chi and CHEN Yang. Uncertain Vehicle Intersection Trajectory Prediction [J]. Computer Science, 2018, 45(3): 235-240. |
[13] | ZHANG Qi-man, ZHANG Ying. Study on Monte Carlo Location Algorithm in Wireless Sensor Networks [J]. Computer Science, 2018, 45(12): 77-80. |
[14] | DING Dang, ZHANG Zhi-fei, MIAO Duo-qian and CHEN Yue-feng. Ordering Recommender Algorithm Based on Consumers’ Behavior [J]. Computer Science, 2017, 44(Z11): 46-50. |
[15] | WANG Geng-sheng and ZHANG Min. Research of Improved CPF Algorithm for Intergrated Train Positioning [J]. Computer Science, 2017, 44(9): 296-299. |
|