Generation and application of maritime adaptive kill web based on graph model

Objective To address the challenges of the coordinated scheduling of naval combat equipment and enhance combat effectiveness, this paper conducts research on the generation method of a maritime adaptive kill web based on a graph model.

Method The proposed method encompasses four key parts. Through battlefield situation modeling, the real-time access and integration of multi-source information are carried out to construct a dynamic battlefield model. A complex task decomposition module is utilized to break down combat tasks into executable subtasks and optimize resource allocation. The kill web is generated based on equipment relationships and capability indicators, and optimized under multiple objective constraints. When the equipment resources change, the kill web is adaptively reconstructed through redundant node supplementation and other means.

Results Verified by a maritime anti-missile scenario experiment, this method effectively solves the problems of battlefield situation information processing, task decomposition and modeling, and equipment collaborative optimization and dynamic adjustment, and can quickly generate and optimize a kill web to achieve multi-chain and multi-angle defense.

Conclusions The proposed graph model-based maritime adaptive kill web generation method can improve the overall effectiveness and response ability of modern naval warfare. Future research will continue to optimize the algorithm performance and system response ability to provide stronger support for military operations.