Abstract
The C3I cooperative decision system is the guarantee for combat capabilities of surface warship formations. At present, research on the C3I system simulation lays more emphasis on finding structural logic defects by executing the simulation model, lacking the application of intelligent optimization algorithms to optimize parameters in the system. In this paper, the cooperative decision-making process of surface warship formation defense system is studied. Meanwhile, modelling and optimization methods for cooperative decision system are proposed. Based on simulation models built on the ExtendSim platform, this paper optimizes the staffing strategy of decision makers based on the genetic algorithm, to improve the per capita decision efficiency. The optimized staffing strategy meets objectives and requirements. The research in this paper can provide a scientific and objective reference for relevant decision-makers and researchers.
Highlights
With the continuous progress of the performance of equipment such as remote cruise missiles and stealth aircrafts, surface warship formation is facing various types of threats.[1]
A significant factor to ensure the coordinated operation of equipment on surface warship formation is the efficiency of ship-borne C3I systems
Li Dajian[3] set up a Petri net model of air defense C3I decision system for the camp and brigade decision organization
Summary
With the continuous progress of the performance of equipment such as remote cruise missiles and stealth aircrafts, surface warship formation is facing various types of threats.[1]. Numerous scholars used Petri net to simulate and analyze the C3I system. Li Dajian[3] set up a Petri net model of air defense C3I decision system for the camp and brigade decision organization. Chen Xingyou[4] established an air defense C3I system model based on hierarchical fuzzy colored Petri net. Zuo Xiaofeng[5] built a colored Petri net simulation model for the warship formation combat C3I system, and the system decision delay was analyzed. Zhao Yanquan[6] applied the object colored Petri net to analyze the relationship of the composition of ship-borne C3I system. Current research lacks using heuristic algorithm to search optimal solutions of parameters in C3I system, which ignores the optimization ability of simulation models. The genetic algorithm is applied to optimizes the parameters, which improves the efficiency of decision-making
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