This invention provides a method, apparatus, device, and storage medium for multi-
branch parallel simulation and decision optimization based on a large
language model. It constructs a dynamically evolving
battlefield state space by receiving multi-source real-time situational data. Situational analysis identifies
battlefield emergencies, which are then used as triggers to invoke the large
language model to generate multiple differentiated decision branches, each containing
macro-level objectives and micro-level strategies. For each decision
branch, an independent parallel
battlefield simulation instance is constructed and allocated computational and
simulation resources, driving synchronous parallel simulations to obtain real-time
simulation states. Multi-dimensional dynamic evaluation is performed to obtain a dynamic comprehensive
score. Based on this, branches with scores continuously below a preset threshold are dynamically pruned, and their released computational and simulation resources are weighted and redistributed to surviving branches to improve their solution accuracy. Finally, high-scoring, high-quality branches are extracted, and the large
language model is invoked to perform
decision fusion on their key action sequences, outputting the optimal combat path and command sequence.