Model of strike target preference under super-network system operation
Aiming at the problem of insufficient consideration of the cost of strikes in the analysis and decision-making of target preference for maritime combat systems,a network node analysis model that considers the importance of target nodes and the cost effectiveness of strikes is proposed.The network model of the maritime combat system is constructed using a super-network,and the importance of the nodes in the network is evaluated by indicators such as degree centrality and betweenness centrality.The strike cost effectiveness ratio is used as an indicator to evaluate the strike cost of the nodes in the network,and then the target analysis and selection problem is transformed into a multi-objective optimization problem.And an optimization search model is established and solved by an artificial fish swarm algorithm.Finally,the model is applied to a simulation case,and the results pass the experts evaluation by Delphi method.It shows that the established model method is feasible and useful for the target analysis and selection of surface fleet systems.
target selectionsuper-networkstrike costartificial fish swarm algorithmmulti-objective optimization
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