针对生态工业园区中碳-氢-氧共生网络，基于多尺度原子标定方法，同时考虑经济和环境因素及回用副产碳氢氧化合物，本工作提出了一种多目标优化及决策的方法，从备选方案中获得最优方案。该方法采用数学规划法，分别以最小总年度成本和二氧化碳年度排放量为目标函数进行全局优化，建立了混合整数非线性规划模型；采用ε-约束法，将二氧化碳年度排放量转化为约束条件，得到了总年度成本与二氧化碳年度排放量帕累托前沿，发现总年度成本与二氧化碳排放量成反比；采用多维偏好分析的线性规划和逼近于理想解的排序决策方法对帕累托前沿进行最优决策，发现两者选择同一点作为最优决策。基于所提出的方法对某工业园区进行优化，结果表明，合理利用现有副产碳氢氧化合物，可以减少原材料成本，从而使总年度成本和二氧化碳年度排放量分别减少了63.44%和76.99%。

In view of the carbon-hydrogen-oxygen symbiosis networks (CHOSYNs) in eco-industrial parks (EIPs), a multi-objective optimization and decision-making method is proposed based on multi-scale atomic targeting method, considering economic and environmental factors and the reuse of by-product of carbon-hydrogen-oxygen compounds, and the optimal scheme is obtained from the alternatives. In this method, the mathematical programming method is adopted, and the global optimization is carried out with the minimum total annual cost (TAC) and carbon-dioxide annual emission (CAE) as the objective functions respectively, and the mixed-integer nonlinear programming (MINLP) model is established. Using the ε-constraint method, the CAE is transformed into constraint conditions, and the Pareto front of the TAC and CAE is obtained. It is found that the TAC is inversely proportional to CAE. The linear programming technique for multidimensional analysis of preference (LINMAP) and technique for order preference by similarity to ideal situation (TOPSIS) methods are used to make the optimal decision on the Pareto frontier. It is found that they choose the same point as the optimal decision. Based on the proposed method, an industrial park is optimized. The results show that the rational use of the existing by-product of carbon-hydrogen-oxygen compounds can reduce the cost of the raw materials, and reduce the TAC and CAE by 63.44% and 76.99%, respectively.