管理措施的风险评价是提高核电的安全、经济性能的重要环节。介绍了Matlab遗传算法的基本原理、工具箱及其基本流程。通过将核电的各种运行风险与相应的管理措施相联系,利用现有的概率风险分析(PSA)技术获得各种概率评价,进而运用遗传算法进行优化评价,最终得到针对风险的总收益的最大值以及相应的优化的管理方案。 Risk assessment of management measures is an important part of improving the safety and economic performance of nuclear power. Introduced the basic principles of Matlab genetic algorithm, toolbox and its basic processes. By linking various operational risks of nuclear power with corresponding management measures, various probabilistic evaluations are obtained by using the existing probabilistic risk analysis (PSA) technology, and then genetic algorithms are used to optimize the evaluation. Finally, the maximum total return for the risks is obtained Value and the corresponding optimization of management programs.