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针对混合整数线性规划(MILP)算法求解所有最优可行解时变量搜索范围过大的问题,提出了用通量可变性分析(FVA)改进MILP算法;并以克雷伯氏杆菌发酵甘油产1 ,3-丙二醇(1 ,3-PDO)为研究对象,以1 ,3-PDO产率最大为优化目标,利用改进 MILP算法得到不同氧气消耗下所有可行代谢路径;进一步通过 ATP 消耗总量分析,确定 ATP消耗最小的最优代谢路径.“,”To solve the problem that the variable searching scope is too large for solving all optimal feasible solutions by the mixed integer linear programming(MILP)algorithm,we proposed an improved MILP algo-rithm incorporating the flux variability analysis(FVA).Using 1,3-propanediol(1,3-PDO)fermentated from glycerol by Klebsiella pneumoniae as a research subj ect,and the maximum yield of 1 ,3-PDO as an optimized tar-get,we obtained all feasible metabolic pathways under different oxygen consumptions by the improved MILP al-gorithm.In addition,we determined the optimal metabolic pathway with the minimum ATP total consumption through analysis of ATP total consumption.