关键词: 分类器, 遗传算法, 作战体系, 体系优化, 试验床

Abstract:

In order to solve the problem that exploratory simulation can not traverse the solution space quickly, and provide the auxiliary decision-making scheme in real time, a genetic algorithm based on classifier is proposed. The framework of simulation optimization method based on the algorithm is established. It can find the optimal solution according to the dynamic changes of key factors and decision targets of the system, which is suitable for such as seeking the best efficiency-cost ratio scheme and the optimization of the optimal power deployment and other systems. Based on the simulation bed system of the National Defense University, experiments on fire blocking operations in a sea area are carried out. The power allocation problem is optimized by GABC (genetic algorithm based on classifier). The experiment shows that the method can find the most efficient and cost ratio scheme from the complex system constraints accurately and quickly, and can reduce the number of simulation experiments and meet the needs of quick assistant commander decision.

Key words: classifier, genetic algorithm, combat system, SoS optimization, simulation test bed