作　　者： (刘春梅）; (李能）; (赵强）;

机构地区： 上海财经大学信息管理与工程学院,上海200433

出　　处： 《软科学》 2017年第9期5-10,共6页

摘　　要： 构建了基于混合单位能源投入产出表综合考虑经济、能源和环境的非线性多目标产业结构优化模型。采用MOPSO算法,使用Python软件对模型进行编程求解,对经济增长在低于6.5%、6.5%~7%、7%~8%三个不同区间范围内的多目标和单目标优化结果进行了比较;对不同增速区间下的多目标优化结果进行了比较。结果表明:多目标比单目标优化结果更符合我国新常态发展要求。 An optimization model of nonlinear muhi-objective considering economic, energy and environment is constructed based on a hybrid unit energy input-output table. This paper uses MOPSO algorithm and Python software to solve the model. Then the optimization results are analyzed from the following two aspects： It compares single objective optimization and multi-objective optimization between the three different ranges of economic growth. It compares the multi-objective optimiza- tion results between the different ranges of the economic growth. The results show that the multi-objective optimization resuits are more compatible for China.

关 键 词： 新常态 产业结构 多目标优化 混合单位能源投入产出 算法