关于复杂网络演化过程中鲁棒性的研究.pdf

ABSTRACTMany plex system, such as Protein-Protein -work, Gene work, , WWW, Power grid and -work, exist in real world. works’ normal performance are essential tothe stabilization of nature and human society. Studying work robustness,which refers to the ability to work function or properties under per-turbation, has important inspiration to the design of plex key work of this thesis consists of several parts listed in the following:Firstly, we study the e?ects work topology on work robust-ness from an dynamic points of view. We use work to model theRandom Graph and Scale-work, and explore robustness to two types ofperturbation on these two categories works work evolution toperform some pre-established demonstrated that scale-worksperform inferior to homogenous random graph on mutational robustness, whichincrease the evolvability and facilitates the evolutionary search to perform thetarget function; while they are superior on robustness of attractors to randomgraph, which demonstrates the higher tolerance to state the second place, we introduced switching target function during evolu-tion, and investigate work robustness of the two categories found that the switching way of evolution improves the mutational robust-ness of the two types works, and Scale-work increase more; but therobustness of attractors of the works decreases. We concluded that theswitching way of evolution facilitates works to form some workmotives with robust topology, which increase the mutational robustness of works, and balance the robustness and WORDS:Robustness, work, Attractor, Network Evolution,Random Graph, Scale-workii???????????????. . . . . . . . . . . . . . . . . . . . . . ????????????????????. . . . . . . . . . . ????????????K???????p?????. . ????????????????????б. . . . . . . . . ???????????????????γ???????p?????. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ?????????. . . . . .