Computer Science ›› 2018, Vol. 45 ›› Issue (2): 98-102.doi: 10.11896/j.issn.1002-137X.2018.02.017
Previous Articles Next Articles
DONG Hong-bin, LI Dong-jin and ZHANG Xiao-ping
| [1] KENNEDY J,EBERHERT R.Particle Swarm Optimization[C]∥IEEE International Conference on Neural Networks.Australia:IEEE,1995:1942-1948. [2] ELEGBEDE C.Structural Reliability Assessment based on Particles Swarm Optimization [J].Structural Safety,2005,7(10):171-186. [3] POBINSON J,RAHMAT Y.Particle Swarm Optimization inElectrom Agnetics [J].IEEE Transactions on Antennas and Propagation,2004,2(2):397-406. [4] SALMAN A,AHMAD I,MADANI S.Particle Swarm Optimization for Task Assignment Problem [J].Microprocessors and Microsystems,2002,6(8):363-371. [5] SHI Y,EBERHART R.Empirical Study of Particle Swarm Optimization[C]∥International Conference on Evolutiona-ry Compution.Washington,USA:IEEE,1999:1945-1950. [6] SHI Y,EBERHART R.Fuzzy Adaptive Particle Swarm Optimization[J].Congress on Evolutionary Compution,2001,1(12):101-106. [7] EBERHART R,SHI Y.Tracking and Optimizing Dynamic Systems with Particle Swarm[J].Congress on Evolutionary Computatiion,2001,1(1):94-100. [8] ZHAO Z G,LIN Y J,YIN Z Y.A Mean Particle Swarm Optimization Algorithm based on Adaptive Inertia Weight [J].Journal of Computer Engineering & Science,2016,8(3):501-506.(in Chinese) 赵志刚,林玉娇,尹兆远.基于自适应惯性权重的均值粒子群优化算法[J].计算机工程与科学,2016,38(3):501-506. [9] CHALEM S,ONGSAKUL W.Stochastic Weight Tradeoff Particle Swarm Optimization for Nonconvex Economic Dispatch [J].Energy Conversion and Management,2013,0:66-75. [10] XIA X W,LIU J N,HU Z B.An Improved Particle Swarm Optimizer based on Tabu Detecting and Local Learning Strategy in a Shrunk Search Space [J].Applied Soft Computing,2014,3(1):76-90. [11] PARSOPOULOS K E.Parallel Cooperative Micro-Particle SwarmOptimization:A Master-slave Model [J].Applied Soft Computing,2012,2(11):3552-3579. [12] ALFI A.PSO with Adaptive Mutation and Inertia Weight and its Application in Parameter Estimation of Dynamic Systems [J].Acta Automatica Sinica,2011,7(5):541-549. [13] ZHANG Y,GONG D W.Feature Selection Algorithm based on Bare Bones Particle Swarm Optimization [J].Neurocomputing,2015,8(1):150-157. [14] ZHANG Y,GONG D W,SUN X Y.Adaptive Bare Bones Particle Swarm Optimization Algorithm and its Convergence Analysis [J].Soft Computing,2014,8(7):1337-1352. [15] TENG X Y,DONG H B,SUN J.Co-evolution Algorithm forFeature Selection [J].Journal of CAAI Transactions on Intelligent Systems,2017,2(1):1-9.(in Chinese) 滕旭阳,董红斌,孙静.面向特征选择问题的协同演化方法[J].智能系统学报,2017,12(1):1-9. [16] DONG H B,YANG X,TENG X Y.A Diversity Reserved Quantum Particle Swarm Optimization Algorithm for MMKP[C]∥ IEEE/ACIS Internation Conference on Computer and Information Science (ICIS).2016:1-7. [17] LI X J,XU J,ZHU E Z.A Novel Computation Method for Adaptive Inertia Weight of Task Scheduling Algorithm [J].Journal of Computer Research and Development,2016,3(9):1990-1999.(in Chinese) 李学俊,徐佳,朱二周.任务调度算法中新的自适应惯性权重计算法[J].计算机研究与发展,2016,3(9):1990-1999. |
| No related articles found! |
|
||
Home