In multiobjective optimization, trade-off analysis plays an important role in determining most preferred solution. This paper presents an explicit interactive trade-off analysis based on the surrogate worth trade-off ...In multiobjective optimization, trade-off analysis plays an important role in determining most preferred solution. This paper presents an explicit interactive trade-off analysis based on the surrogate worth trade-off function to determine the best compromised solution. In the multiobjective framework thermal power dispatch problem is undertaken in which four objectives viz. cost, NOx emission, SOx emission and COx emission are minimized simultaneously. The interactive process is implemented using a weighting method by regulating the relative weights of objectives in systematic manner. Hence the weighting method facilitates to simulate the trade-offrelation between the conflicting objectives in non-inferior domain. Exploiting fuzzy decision making theory to access the indifference band, interaction with the decision maker is obtained via surrogate worth trade-off （SWT） functions of the objectives. The surrogate worth trade-off functions are constructed in the functional space and then transformed into the decision space, so the surrogate worth trade-off functions of objectives relate the decision maker＇s preferences to non-inferior solutions through optimal weight patterns. The optimal solution of thermal power dispatch problem is obtained by considering real and reactive power losses. Decoupled load flow analysis is performed to find the transmission losses. The validity of the proposed method is demonstrated on 11-bus, 17-lines IEEE system, comprising of three generators.展开更多
In the paper, it is discussed that the method on how to transform the multi-person bilevel multi-objective decision making problem into the equivalent generalized multi-objective decision making problem by using Kuhn-...In the paper, it is discussed that the method on how to transform the multi-person bilevel multi-objective decision making problem into the equivalent generalized multi-objective decision making problem by using Kuhn-Tucker sufficient and necessary condition. In order to embody the decision maker′s hope and transform it into single-objective decision making problem with the help of ε-constraint method. Then we can obtain the global optimal solution by means of simulated annealing algorithm.展开更多
目的评价一种A群C群脑膜炎球菌多糖结合疫苗(Group A and group C meningococcal polysaccharide conjugate vaccine,MPCV-AC)应用于3-23月龄儿童的安全性。方法采用随机、盲法、同类疫苗对照的非劣效临床试验,在河南省某县招募3月龄、6...目的评价一种A群C群脑膜炎球菌多糖结合疫苗(Group A and group C meningococcal polysaccharide conjugate vaccine,MPCV-AC)应用于3-23月龄儿童的安全性。方法采用随机、盲法、同类疫苗对照的非劣效临床试验,在河南省某县招募3月龄、6-11月龄和12-23月龄健康受试者,每个年龄组受试者按不同免疫程序随机接种MPCV-AC试验疫苗或对照疫苗,观察接种后0-30d不良反应,比较试验疫苗和对照疫苗的不良反应发生率。结果3月龄受试者接种试验疫苗和对照疫苗的总不良反应发生率分别为18.9%(151/799)和29.2%(235/805)(χ^(2)=23.25,P<0.001),其中局部反应分别为1.9%和7.1%(χ^(2)=25.32,P<0.001),全身反应分别为17.3%和24.8%(χ^(2)=13.83,P<0.001)。6-11月龄受试者接种试验疫苗和对照疫苗的总不良反应发生率分别为22.4%(122/545)和21.6%(118/547)(χ^(2)=0.11,P=0.746),其中局部反应分别为2.0%和1.8%(χ^(2)=0.05,P=0.819),全身反应分别为20.7%和20.1%(χ^(2)=0.07,P=0.798)。12-23月龄受试者接种试验疫苗和对照疫苗的总不良反应发生率分别为15.1%(83/548)和19.0%(103/542)(χ^(2)=2.87,P=0.091),其中局部反应分别为0.9%和1.3%(χ^(2)=0.36,P=0.549),全身反应分别为14.2%和18.3%(χ^(2)=3.26,P=0.071)。结论本研究MPCV-AC试验疫苗应用于3-23月龄健康儿童的安全性非劣于对照疫苗。展开更多
主动配电网(active distribution network,ADN)采用主动控制和管理措施,能够有效解决高渗透率分布式能源并网的技术难题。针对多类型分布式电源(distributed generation,DG)、储能和补偿电容接入ADN的综合最优配置问题,建立了考虑综合成...主动配电网(active distribution network,ADN)采用主动控制和管理措施,能够有效解决高渗透率分布式能源并网的技术难题。针对多类型分布式电源(distributed generation,DG)、储能和补偿电容接入ADN的综合最优配置问题,建立了考虑综合成本,平均供电可靠性和温室气体排放量的多目标模型,并采用一种改进的多目标粒子群算法进行优化求解。该算法通过引入遗传算子提高算法的全局寻优能力,避免算法进入早熟;在处理DG、储能和补偿电容定容问题时,通过外部档案更新和种群全局最优解的选取,提高多目标粒子群算法优化容量分配的能力。针对获得的非劣解集,采用基于信息熵的模糊决策技术得到不受决策者偏好影响的最终方案。算例选取IEEE-33节点配电系统作为仿真对象,证明了该算法具有良好的收敛特性和全局搜索能力。展开更多
文摘In multiobjective optimization, trade-off analysis plays an important role in determining most preferred solution. This paper presents an explicit interactive trade-off analysis based on the surrogate worth trade-off function to determine the best compromised solution. In the multiobjective framework thermal power dispatch problem is undertaken in which four objectives viz. cost, NOx emission, SOx emission and COx emission are minimized simultaneously. The interactive process is implemented using a weighting method by regulating the relative weights of objectives in systematic manner. Hence the weighting method facilitates to simulate the trade-offrelation between the conflicting objectives in non-inferior domain. Exploiting fuzzy decision making theory to access the indifference band, interaction with the decision maker is obtained via surrogate worth trade-off （SWT） functions of the objectives. The surrogate worth trade-off functions are constructed in the functional space and then transformed into the decision space, so the surrogate worth trade-off functions of objectives relate the decision maker＇s preferences to non-inferior solutions through optimal weight patterns. The optimal solution of thermal power dispatch problem is obtained by considering real and reactive power losses. Decoupled load flow analysis is performed to find the transmission losses. The validity of the proposed method is demonstrated on 11-bus, 17-lines IEEE system, comprising of three generators.
基金This project is supported by National Natural Science Foundation of China( 6 9874 0 0 9) and theNatural Science Foundation of Heilongjiang Province( A0 0 0 4 )
文摘In the paper, it is discussed that the method on how to transform the multi-person bilevel multi-objective decision making problem into the equivalent generalized multi-objective decision making problem by using Kuhn-Tucker sufficient and necessary condition. In order to embody the decision maker′s hope and transform it into single-objective decision making problem with the help of ε-constraint method. Then we can obtain the global optimal solution by means of simulated annealing algorithm.
文摘目的评价一种A群C群脑膜炎球菌多糖结合疫苗(Group A and group C meningococcal polysaccharide conjugate vaccine,MPCV-AC)应用于3-23月龄儿童的安全性。方法采用随机、盲法、同类疫苗对照的非劣效临床试验,在河南省某县招募3月龄、6-11月龄和12-23月龄健康受试者,每个年龄组受试者按不同免疫程序随机接种MPCV-AC试验疫苗或对照疫苗,观察接种后0-30d不良反应,比较试验疫苗和对照疫苗的不良反应发生率。结果3月龄受试者接种试验疫苗和对照疫苗的总不良反应发生率分别为18.9%(151/799)和29.2%(235/805)(χ^(2)=23.25,P<0.001),其中局部反应分别为1.9%和7.1%(χ^(2)=25.32,P<0.001),全身反应分别为17.3%和24.8%(χ^(2)=13.83,P<0.001)。6-11月龄受试者接种试验疫苗和对照疫苗的总不良反应发生率分别为22.4%(122/545)和21.6%(118/547)(χ^(2)=0.11,P=0.746),其中局部反应分别为2.0%和1.8%(χ^(2)=0.05,P=0.819),全身反应分别为20.7%和20.1%(χ^(2)=0.07,P=0.798)。12-23月龄受试者接种试验疫苗和对照疫苗的总不良反应发生率分别为15.1%(83/548)和19.0%(103/542)(χ^(2)=2.87,P=0.091),其中局部反应分别为0.9%和1.3%(χ^(2)=0.36,P=0.549),全身反应分别为14.2%和18.3%(χ^(2)=3.26,P=0.071)。结论本研究MPCV-AC试验疫苗应用于3-23月龄健康儿童的安全性非劣于对照疫苗。
文摘主动配电网(active distribution network,ADN)采用主动控制和管理措施,能够有效解决高渗透率分布式能源并网的技术难题。针对多类型分布式电源(distributed generation,DG)、储能和补偿电容接入ADN的综合最优配置问题,建立了考虑综合成本,平均供电可靠性和温室气体排放量的多目标模型,并采用一种改进的多目标粒子群算法进行优化求解。该算法通过引入遗传算子提高算法的全局寻优能力,避免算法进入早熟;在处理DG、储能和补偿电容定容问题时,通过外部档案更新和种群全局最优解的选取,提高多目标粒子群算法优化容量分配的能力。针对获得的非劣解集,采用基于信息熵的模糊决策技术得到不受决策者偏好影响的最终方案。算例选取IEEE-33节点配电系统作为仿真对象,证明了该算法具有良好的收敛特性和全局搜索能力。
