Analysis And Optimization Of Combat Network Based On Function Chain

On the one hand,with the advancement of science and technology,a large number of advanced weapons and equipment have flooded into the battlefield,making the space and dimensions of combat expand unprecedentedly.In the modern military confrontation of multiple arms,the traditional form of warfare has been difficult to reproduce,and the confrontation between the system and the system has become the mainstream form.While the theory of joint operations is constantly evolving,the corresponding technical support means should be further studied.On the other hand,with the continuous development of complex network theory research,its application has been brilliant in solving the complexity problems in power,transportation,biology and other fields.The application in the field of combat has been studied for many years and extensive.Recognized,but there are still a lot of problems to be solved.The main work of this article includes the following:Firstly,aiming at the phenomenon that the current network model of the combat system is more complicated,two kinds of fusion network construction algorithms based on the "edge-increasing" and "growth" models are proposed.The design experiments compare the basic statistical parameters of the two network models.The fusion parameters are used to verify that the network model based on “edge-increasing” has similarity to the NW small-world network in terms of basic statistical parameters.The network model based on “growth” has similarities with the BA scale-free network model in basic statistical parameters.And the two types of networks have similarities in the fusion parameters.Secondly,in order to answer the question of what kind of structure of the combat system network is more reasonable,an experimental explanation is given.In the fusion network model,a more generalized functional chain definition and a generalized functional path formation method are proposed,and a generalized functional path search algorithm is designed.The final experimental network with a uniform distribution of degrees and a high degree of clustering is a more reasonable operation system network structure.Thirdly,in order to meet the task-oriented requirements of the combat system,the network analysis method of the warfare system based on the function chain is studied,and the basic analysis thought of "task?function chain?function path" is proposed.Aiming at the characteristics of the network model of the combat system,a node/edge importance index based on service intensity is proposed.In order to verify the rationality of the indicators,a combat network fusion network model is built,importance distribution under each index are compared,the network comprehensive operational capability indicators is improved,and the effectiveness of the strategy according to the business strength order is verified.Fourthly,in order to solve the problem of network topology optimization of combat system,the two-layer evolution model of cultural algorithm is applied,and the situation knowledge,topology knowledge and historical knowledge are used to construct the reliability space,and the genetic algorithm acts on the population space.Aiming at the high dimensional characteristics of network evolution solution space,the topological knowledge model in the reliability space is improved to attract the intensity model,and the crossover operator of the adjacency matrix overlap is designed.Fifthly,participate in the design and development of the functional chain threat analysis system,and realize the functions of functional chain model definition,functional path search,node/edge importance assessment,network combat capability envelope diagram calculation and display,etc.,and form a complete functional chain analysis.system.