电压暂降的经济管理是当前电能质量投资和需求侧管理工作中亟待解决的问题。提出了基于交互式逼近理想解的排序法(technique for order preference by similarity to idealsolution,TOPSIS)的电压暂降投资最优分配策略。该策略在定义负...电压暂降的经济管理是当前电能质量投资和需求侧管理工作中亟待解决的问题。提出了基于交互式逼近理想解的排序法(technique for order preference by similarity to idealsolution,TOPSIS)的电压暂降投资最优分配策略。该策略在定义负荷点的电压暂降敏感度指标的基础上,综合考虑了不同类型的电压暂降治理技术水平的差异。交互式TOPSIS方法的运用能够有效地提取负荷点的优势信息,避免了决策过程中的主观性和盲目性,使电压暂降投资的分配结果更加合理。展开更多
The URI online judge is a new online tool created with the main purpose of making programming practice more dynamic, interesting and stimulating for those who have just entered into the art of programming. The URI onl...The URI online judge is a new online tool created with the main purpose of making programming practice more dynamic, interesting and stimulating for those who have just entered into the art of programming. The URI online judge allows problem corrections in real time, interactivity between users, besides it allows flexibility in the choice of the programming language and it makes some supporting materials available. During the short time in which the tool has being used we have observed that it is a very good tool for self-study. As users of programming portals, the authors noticed some details that would be important to be implemented in a new tool, such as the separation of problems by categories. Another fundamental detail is the fact that this tool is available in two languages （Portuguese and English）. This might facilitate the learning process for beginners, both locally and globally.展开更多
In response to many multi-attribute decision-making(MADM)problems involved in chemical processes such as controller tuning,which suffer human's subjective preferential nature in human–computer interactions,a nove...In response to many multi-attribute decision-making(MADM)problems involved in chemical processes such as controller tuning,which suffer human's subjective preferential nature in human–computer interactions,a novel affective computing and preferential evolutionary solution is proposed to adapt human–computer interaction mechanism.Based on the stimulating response mechanism,an improved affective computing model is introduced to quantify decision maker's preference in selections of interactive evolutionary computing.In addition,the mathematical relationship between affective space and decision maker's preferences is constructed.Subsequently,a human–computer interactive preferential evolutionary algorithm for MADM problems is proposed,which deals with attribute weights and optimal solutions based on preferential evolution metrics.To exemplify applications of the proposed methods,some test functions and,emphatically,controller tuning issues associated with a chemical process are investigated,giving satisfactory results.展开更多
文摘电压暂降的经济管理是当前电能质量投资和需求侧管理工作中亟待解决的问题。提出了基于交互式逼近理想解的排序法(technique for order preference by similarity to idealsolution,TOPSIS)的电压暂降投资最优分配策略。该策略在定义负荷点的电压暂降敏感度指标的基础上,综合考虑了不同类型的电压暂降治理技术水平的差异。交互式TOPSIS方法的运用能够有效地提取负荷点的优势信息,避免了决策过程中的主观性和盲目性,使电压暂降投资的分配结果更加合理。
文摘The URI online judge is a new online tool created with the main purpose of making programming practice more dynamic, interesting and stimulating for those who have just entered into the art of programming. The URI online judge allows problem corrections in real time, interactivity between users, besides it allows flexibility in the choice of the programming language and it makes some supporting materials available. During the short time in which the tool has being used we have observed that it is a very good tool for self-study. As users of programming portals, the authors noticed some details that would be important to be implemented in a new tool, such as the separation of problems by categories. Another fundamental detail is the fact that this tool is available in two languages （Portuguese and English）. This might facilitate the learning process for beginners, both locally and globally.
基金Supported by the Fundamental Research Funds for the Central Universities(ZY1347and YS1404)
文摘In response to many multi-attribute decision-making(MADM)problems involved in chemical processes such as controller tuning,which suffer human's subjective preferential nature in human–computer interactions,a novel affective computing and preferential evolutionary solution is proposed to adapt human–computer interaction mechanism.Based on the stimulating response mechanism,an improved affective computing model is introduced to quantify decision maker's preference in selections of interactive evolutionary computing.In addition,the mathematical relationship between affective space and decision maker's preferences is constructed.Subsequently,a human–computer interactive preferential evolutionary algorithm for MADM problems is proposed,which deals with attribute weights and optimal solutions based on preferential evolution metrics.To exemplify applications of the proposed methods,some test functions and,emphatically,controller tuning issues associated with a chemical process are investigated,giving satisfactory results.
