Virus coevolution partheno-genetic algorithms for optimal sensor placement
Tài liệu tham khảo
Hao, 2002, Vibration-based damage detection of structures by genetic algorithm, Journal of Computing in Civil Engineering, 16, 222, 10.1061/(ASCE)0887-3801(2002)16:3(222)
He, 2006, Damage detection by an adaptive real-parameter simulated annealing genetic algorithm, Computers & Structures, 84, 2231, 10.1016/j.compstruc.2006.08.031
Meo, 2005, On the optimal sensor placement techniques for a bridge structure, Engineering Structures, 27, 1488, 10.1016/j.engstruct.2005.03.015
An-pan, 2003, Optimal sensor placement for modal parameter identification using signal subspace correlation techniques, Mechanical Systems and Signal Processing, 17, 361, 10.1006/mssp.2001.1400
Kammer, 1991, Sensor placement for on-orbit modal identification and correlation of large space structures, Journal of Guidance, Control and Dynamics, 14, 251, 10.2514/3.20635
Lim, 1992, Method for optimal actuator and sensor placement for large flexible structures, AIAA Journal of Guidance, Control, and Dynamics, 15, 49, 10.2514/3.20800
Came TG, Dohrmann CR. A modal test design strategy for model correlation, Proceedings of the 13th International Modal Analysis Conference, Nashville, Tennessee, USA, 1995.p. 927–933.
Schedlinski C, Link M. An approach to optimal pick-up and exciter placement, Proceedings of the 14th International Modal Analysis Conference, Dearborn, Michigan, USA, 1996, p. 376–382.
Reynier, 1999, Sensors location for updating problems, Mechanical Systems and Signal Processing, 13, 297, 10.1006/mssp.1998.1213
Papadimitriou, 2004, Optimal sensor placement methodology for parametric identification of structural systems, Journal of Sound and Vibration, 278, 923, 10.1016/j.jsv.2003.10.063
Vinot, 2005, A robust model-based test planning procedure, Journal of Sound and Vibration, 288, 571, 10.1016/j.jsv.2005.07.007
Kammer, 1994, Enhancement of on-orbit modal identification of large space structures through sensor placement, Journal of Sound and Vibration, 171, 119, 10.1006/jsvi.1994.1107
Tongco, 1996, Optimal sensor placement of large flexible space structures, AIAA Journal of guidance, control, and dynamics, 19, 961, 10.2514/3.21725
Chen, 1991, Optimal placement of active/passive members in truss structures using simulated annealing, AIAA Journal, 29, 1327, 10.2514/3.10739
Yao, 1993, Sensor placement for on-orbit modal identification via a genetic algorithm, AIAA Journal, 31, 1922, 10.2514/3.11868
Abdullah, 2001, Placement of sensors/actuators on civil structures using genetic algorithm, Earthquake Engineering and Structural Dynamics, 30, 1167, 10.1002/eqe.57
Huang, 2005, Optimal sensor placement based on genetic algorithms, Engineering Mechanics, 22, 113
Gao, 2006, Sensor placement optimization in structural health monitoring using genetic and evolutionary algorithms, Proceedings of SPIE, 6174, 1
Li, 2001, Comparision between partheno-genetic algorithm and traditional genetic algorithm, Systems Engineering, 19, 61
Li, 1999, A partheno-genetic algorithm and analysis on its global convergence, Acta automatica sinica, 25, 68
Bai JC, Chang HY, Yang Y.A partheno-genetic algorithm for multidimensional knapsack problem. Proceedings of the 4th International Conference on Machine Learning and Cybernetics. Guangzhou, China: 2005. p. 2962–2965.
Javadi, 2005, A hybrid intelligent genetic algorithm, Advanced Engineering Informatics, 19, 255, 10.1016/j.aei.2005.07.003
Hwang, 2006, A hybrid real-parameter genetic algorithm for function optimization, Advanced Engineering Informatics, 20, 7, 10.1016/j.aei.2005.09.001
Kubota, 1996, Virus-evolutionary genetic algorithm for a self-organizing manufacturing system, Computers & Industrial Engineering Journal, 30, 1015, 10.1016/0360-8352(96)00049-6
Kubota N, Shimojima K, Fukuda T. The role of virus infection in virus-evolutionary genetic algorithm. Proceedings of IEEE International Conference on Evolutionary Computation, Nagoya, Japan:IEEE,1996, 182–187.
Hu, 2004, A Virus Coevolution genetic algorithm for project optimization scheduling, Journal of software, 15, 49
Ning, 2007, Decision model and algorithm of task coordination for collaborative logistics network, Control and Decision, 22, 109
Yang, 2007, The application of virus evolutionary genetic algorithm to dynamic path planning, Automotive Engineering, 29, 67
Firdaus, 1994, Methodology for optimum sensor locations for parameter identification in dynamic systems, Journal of Engineering Mechanics, 120, 368, 10.1061/(ASCE)0733-9399(1994)120:2(368)
Trucco, 1997, Model-based planning of optimal sensor placements for inspection, IEEE Transactions on Robotics and Automation, 13, 182, 10.1109/70.563641
Krause A, Gupta A, Guestrin C, Kleinberg J. Near-optimal sensor placements: maximizing information while minimizing communication cost. Proceedings of the 5th International Conference on Information Processing in Sensor Networks. Nashville, Tennessee,USA,2006,2–10.
Raven, 1999
Johnson, 2003
Alters, 2000
Haskel, 1996
Riparbelli, 2003, Drosophila parthenogenesis: a model for de novo centrosome assembly, Developmental Biology, 260, 298, 10.1016/S0012-1606(03)00243-4
Kouchmeshky, 2007, Coevolutionary algorithm for structural damage identification using minimal physical testing, International Journal for Numerical Methods in Engineering, 69, 1085, 10.1002/nme.1803
Kohnke P. ANSYS theory manual. ANSYS Inc.; 2001.
