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1.
行星齿轮传动的模糊优化设计   总被引:1,自引:0,他引:1  
根据齿轮传动可靠性与优化设计的相关性,建立起双级行星齿轮传动在合理可靠性条件下的优化设计数模。在寻求多目标优化全局最优解过程中,为减少全局寻优的盲目性,解决统一权法加权处理的困难,应用了模糊集合概念和贴近度算法,从而克服了原设计方案可靠性方面的缺陷,使设计参数更加先进、合理、准确。  相似文献   

2.
有效解适合鞍点准则的条件   总被引:3,自引:0,他引:3  
该文用一种标量化方法刻划多目标优化问题的有效解适合鞍点准则的条件,同时用多目标的对偶问题的强对偶性来刻划这一条件.  相似文献   

3.
该文研究了一类带不确定参数的多目标分式半无限优化问题。首先借助鲁棒优化方法,引入该不确定多目标分式优化问题的鲁棒对应优化模型,并借助Dinkelbach方法,将该鲁棒对应优化模型转化为一般的多目标优化问题。随后借助一种标量化方法,建立了该优化问题的标量化问题,并刻画了它们的解之间的关系。最后借助一类鲁棒型次微分约束规格,建立了该不确定多目标分式优化问题拟近似有效解的鲁棒最优性条件。  相似文献   

4.
产品组合设计是一个典型的多目标优化问题.多目标规划方法是解决多目标决策问题的一种常用方法.然而,经典的多选择目标规划方法孤立地处理产品组合优化问题,没有考虑组合产品之间的相互影响.研究人员应该考虑产品组合优化中产品之间的相互作用,以便它们能够适应“现实世界”的问题.产品之间的相互作用可以用种群动力学来解释.Lotka-Volterra模型是分析产品种群相互作用的经典方法.Lotka-Volterra模型均衡状态能够反映产品种群协同发展的理想情境.LotkaVolterra均衡分析方法与多选择目标规划方法相结合是分析产品组合交互作用的有效方法.提出了一种新的求解多目标问题的方法,并用一个算例说明了该方法的有效性.模型优化结果的对比分析表明,Lotka-Volterra多选择目标规划模型能够同时考虑资源约束、产品协同和产出最大化要求.  相似文献   

5.
提出了一种框架结构多目标优化方法。基于力法给出了框架结构的等效刚度、最大弯矩随结构材料、几何等设计参数的变化,利用动能等效给出了框架结构的等效质量,进而得到框架结构一阶固有频率随结构材料、几何等参数的变化,用有限元方法验证了所得频率、弯矩公式的正确性。以固有频率、最大弯矩为优化目标函数构造框架结构的多目标优化模型,通过单目标优化得到频率、弯矩最优值,以单目标优化值为基础构造全局目标优化函数,将多目标优化转化为单目标优化。  相似文献   

6.
利用极大熵方法将带多个非线性不等式约束和多个非线性等式约束的多目标规划问题变为两个非线性不等式约束的单个可微的目标函数优化问题,并结合区间分析知识给出一种新的解决多目标规划问题的区间方法.  相似文献   

7.
通过引入一类非凸多目标不确定优化问题,借助鲁棒优化方法,先建立了该不确定多目标优化问题的鲁棒对应模型;再借助标量化方法和广义次微分性质,刻画了该不确定多目标优化问题的鲁棒拟逼近有效解的最优性条件,推广和改进了相关文献的结论.  相似文献   

8.
针对基于得分信息的双边匹配问题,提出了一种决策方法。首先,给出了基于得分信息的双边匹配问题的描述;接着,引入了满意度计算公式;以每个主体满意度最大为目标,构建了求解该双边匹配决策问题的多目标优化模型;考虑到每方每个主体的重要程度,将多目标优化模型转化为双目标优化模型;运用线性加权法将双目标优化模型转化为单目标优化模型,在此基础上,运用匈牙利法进行求解获得匹配结果。最后,毕业生与实习岗位的双边匹配实例分析说明了所提方法的有效性。  相似文献   

9.
为解决组织力量的全局优化配置问题,建立基于灰色关联聚类的宏观人力资源优化模型.首先,根据组织的目标建立人力资源测评体系,引入灰色关联聚类方法,将组织成员按照组织目标聚类形成为不同的力量类型,从宏观角度分析企业人力资源的结构特征;然后,根据组织成本目标、产出目标、社会影响等目标建立组织力量配置的多目标优化模型,引入多目标粒子群优化算法探讨模型求解方法和人力资源配置步骤;最后通过案例验证方法的有效性,从而为组织组织力量的宏观配置和结构优化提供了一种新的研究思路.  相似文献   

10.
一种新型的多属性决策权重计算方法   总被引:5,自引:0,他引:5  
如何科学、合理地确定指标权重,关系到多属性决策结果的可靠性与正确性。现有多属性决策方法大多不能反映不同决策矩阵规范化方法对指标权重计算的影响,针对这一问题,本文提出了基于不同规范化矩阵确定指标权重的思想,进而推导了一种以全部方案总体效能最小为目标的指标权重模糊优化迭代算法。以向量规范法和线性变换法为例,对某战斗机性能多属性决策问题进行了权重计算。计算结果表明,该方法能够快速收敛到优化权重,从而为多属性决策的权重计算问题提供了新的解决方案。  相似文献   

11.
针对多目标决策问题的多目标最优化问题化为单目标最优化问题进行了研究.其主要方法有:理想点法、等级权重法、加权算术平均法、加权几何平均法、风险偏好系数法、乘除法、模糊规划法等.此外,还对多目标最大最小和多目标最小最大决策问题进行了处理.  相似文献   

12.
本文基于反馈系统理论知识 ,提出了求解多层多目标决策系统的非劣决策的一种实用算法 ,此算法是对求解单层多目标决策系统非劣解的加权法的推广  相似文献   

13.
应用最小二乘法准则,并改进了层次分析法判断矩阵的构成,获得考虑专家评价水平的诸影响因素权向量;基于集值统计法和属性数学原理,建立了对高等级公路路线方案量化综合评价优选模型,并给出了计算实例.  相似文献   

14.
In most multi-objective optimization problems we aim at selecting the most preferred among the generated Pareto optimal solutions (a subjective selection among objectively determined solutions). In this paper we consider the robustness of the selected Pareto optimal solution in relation to perturbations within weights of the objective functions. For this task we design an integrated approach that can be used in multi-objective discrete and continuous problems using a combination of Monte Carlo simulation and optimization. In the proposed method we introduce measures of robustness for Pareto optimal solutions. In this way we can compare them according to their robustness, introducing one more characteristic for the Pareto optimal solution quality. In addition, especially in multi-objective discrete problems, we can detect the most robust Pareto optimal solution among neighboring ones. A computational experiment is designed in order to illustrate the method and its advantages. It is noteworthy that the Augmented Weighted Tchebycheff proved to be much more reliable than the conventional weighted sum method in discrete problems, due to the existence of unsupported Pareto optimal solutions.  相似文献   

15.
在右删失情形下,基于一类合成数据,采用加权Bootstrap方法获得了平均生存时间的加权Bootstrap估计及其加权Bootstrap分布,并就权重是否独立两种情形,证明了此估计的相合性及此分布近似的有效性.基于此,构造了平均生存时间的置信区间.在数值模拟中,取权为Dirichlet(n;1,…,1),并从覆盖概率和区间长度角度,比较了加权Bootstrap和渐近正态逼近产生的置信区间.  相似文献   

16.
In this paper, realistic production-inventory models without shortages for deteriorating items with imprecise holding and production costs for optimal production have been formulated. Here, the rate of production is assumed to be a function of time and considered as a control variable. Also the demand is time dependent and known. The imprecise holding and production costs are assumed to be represented by fuzzy numbers which are transformed to corresponding interval numbers. Following interval mathematics, the objective function is changed to respective multi-objective functions and thus the single-objective problem is reduced to a multi-objective decision making(MODM) problem. The MODM problem is then again transformed to a single objective function with the help of weighted sum method and then solved using global criteria method, calculus method, the Kuhn–Tucker conditions and generalized reduced gradient(GRG) technique. The models have been illustrated by numerical data. The optimum results for different objectives are obtained for different types of production function. Numerical values of demand, production function and stock level are presented in both tabular and graphical forms  相似文献   

17.
针对具有不确定偏好序信息的双边匹配决策问题,提出了一种决策方法。首先,给出了不确定偏好序和双边匹配决策问题的描述;接着,引入了满意度和支付的概念;在此基础上,考虑到匹配主体对之间的满意度要求及中介收益,构建了求解该双边匹配决策问题的多目标优化模型,采用基于隶属函数的加权和方法求解该模型获得双边匹配方案。最后,通过一个算例说明了该方法的可行性和有效性。  相似文献   

18.
This study developed a near optimization immunochemoradiotherapy model, which has three objectives; maximizing total weighted damage of cancer cells, minimizing total weighted side effect and minimizing total dose related therapy costs, originated from the Weapon–Target Assignment problem (WTA) of military operations research. The multi-objective structure is transformed into a single-objective format via goal programming. The presented model is a mixed-integer nonlinear goal programming model. A non-clinical hypothetical illustrative example is solved using MS Excel's Solver tool as a powerful spreadsheet tool. The theoretical result is extremely impressive especially compared with result of the single-objective program. The model facilitates cancer therapists to act in a multi-objective frame. However, the model is extremely needed to have clinical experiments to validate its theoretical power. This theoretical model is a virtuous synthesis of military and medical operations research.  相似文献   

19.
Four multi-objective meta-heuristic algorithms are presented to solve a multi-objective capacitated rural school bus routing problem with a heterogeneous fleet and mixed loads. Three objectives are considered: the total weighted traveling time of the students, the balance of routes among drivers, and the routing costs. The proposed methods were compared with one from the literature, and their performance assessed observing three multi-objective metrics: cardinality, coverage, and hyper-volume. All four devised methods outperformed the one from the literature. The algorithm with a path relinking procedure embedded during the crowding distance selection scheme had the best overall performance.  相似文献   

20.
This study examines parallel machine scheduling problems with controllable processing times. The processing time of each job can be between lower and upper bounds, and a cost is associated with the processing of a job on a machine. The processing time of a job can be decreased, which may lower the cycle time, although doing so would incur additional costs. This study develops two multi-objective mathematical models, which consist of two and three inconsistent objective functions, respectively. The first model minimizes the total manufacturing cost (TMC) and the total weighted tardiness (TWT) simultaneously, while the second uses makespan (Cmax) as an additional objective function. In contrast to conventional mathematical models, efficient solutions are attained using the lexicographic weighted Tchebycheff method (LWT). Experimental results indicate that the LWT yields better-spread solutions and obtains more non-dominated solutions than its alternative, that is the weighted-sum method, which is a widely used yet promising approach to achieve multi-objective optimization. Results of this study also demonstrate that in purchasing machines, the variation in the fixed costs associated with the processing of jobs on machines is critical to reducing TWT. Moreover, using Cmax as an additional objective function typically improves TWT and worsens TMC.  相似文献   

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