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Kuhn-Tucker条件

Kuhn-Tucker条件的相关文献在1987年到2020年内共计61篇,主要集中在经济计划与管理、数学、自动化技术、计算机技术 等领域,其中期刊论文58篇、会议论文3篇、专利文献19950篇;相关期刊48种,包括管理工程学报、管理科学学报、运筹与管理等; 相关会议3种,包括中国运筹学会第九届学术交流会、中国控制与决策学术年会、中国数学会第四届全国最优化数值方法学术会等;Kuhn-Tucker条件的相关文献由101位作者贡献,包括宋迎春、左廷英、朱德通等。

Kuhn-Tucker条件—发文量

期刊论文>

论文:58 占比:0.29%

会议论文>

论文:3 占比:0.01%

专利文献>

论文:19950 占比:99.70%

总计:20011篇

Kuhn-Tucker条件—发文趋势图

Kuhn-Tucker条件

-研究学者

  • 宋迎春
  • 左廷英
  • 朱德通
  • 刘三阳
  • 刘燕武
  • 史彦龙
  • 徐裕生
  • 李建军
  • 高阳
  • 万可
  • 期刊论文
  • 会议论文
  • 专利文献

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    • 刘名武; 潘艳屏
    • 摘要: 针对碳排放权价格的不确定性,引入看涨期权策略,构建制造商主导的两级供应链博弈模型,利用Kuhn-Tucker条件求解.比较制造商以即时价格与以期权购买碳排放权策略的决策.研究表明,制造商只以期权形式购买碳排放权.碳价格对碳排放权期权购买量影响较小.碳价格较大时,碳排放权期权策略下制造商利润比即时价格购买策略的利润高,零售商和供应链利润也会提高.当碳排放权期权成本小于阈值,制造商采用期权策略可实现供应链企业利润的改善.
    • 李凌雁; 高阳
    • 摘要: 在制造商受专利保护的条件下,建立含有一个能自行回收的制造商及一个具有再制造能力的回收商的闭环供应链模型.采用Stackelberg博弈、Kuhn-tucker条件等方法研究了两种策略不授权再制造(策略S)及授权回收商进行再制造(策略D)之后,通过算例分析,讨论再制造所节约的成本和单位专利费用对闭环供应链参与者利润及决策的影响.结果表明,再制品供不应求的市场中,只有当回收商再制造成本低于制造商时,制造商才会授权其进行再制造.%This paper discussed different remanufacturing strategies of the original equipment manufacturer (OEM) for both new products and remanufacturing products with the method of Stackleberg Game and Kuhn-Tucker Conditions.This paper established a closed-loop supply chain model to examine the impacts of patent licensing on a decentralized system in which the recycler was capable of remanufacturing and both of OEM and recycler were responsible for product recovery.This paper assumed that the OEM adopts different remanufacturing strategies to protect its patent:OEM remanufacturing (strategy S) and authorized recycler remanufacturing (strategy D).Then by analyzing the examples,the influence of the cost saved by remanufacturing and patent licensing fees on the decision making and profit of OEM and recycler was probed.Finally,the result shows that the OEM would authorize recycler to remanufacture used products when the remanufacture cost of recycler is lower than OEM.
    • 程林鹏; 林丹
    • 摘要: In order to solve bilevel programming problem,this paper proposed a novel intelligent optimization algorithm named the firefly algorithm.The thought of this paper is using Kuhn-Tucker conditions of the underlying problem instead the underlying problem,so that the bilevel programming problem can be conversed into single programming.In order to avoid solving the gradient information of the objective function and algorithm premature into local optimum,use the firefly intelligent algorithms that based on the Pareto optimal solution to solve it,and by using Matlab.Testing through a series of numerical example and comparing with other algorithms,the results show that the fireflies intelligent algorithm that combinated Kuhn-Tucker conditions is feasible and effective.%针对二层规划问题,给出二层决策问题数学模型的一种新的解法,二层规划萤火虫智能群优化算法:首先采用以原问题的下层问题的Kuhn-Tucker条件代替下层问题的思想,将二层规划问题转化为单层规划问题.其次为避免求解目标函数的梯度信息以及算法过早的陷入局部最优,利用基于Pareto最优解集的萤火虫智能群优化算法对其进行求解,并利用Matlab予以实现.利用5个具有代表性的标准测试实例对该算法予以测试,并与其他算法进行比较.结果表明,结合Kuhn-Tucker条件的萤火虫智能群优化算法在5个测试函数中均能寻找到最优Pareto解,并且在求解的上层目标函数值上均优于对比算法,表明新算法可行有效.
    • 王倩文; 高阳
    • 摘要: 针对闭环供应链联盟策略问题,建立了两周期模型,采用Stackelberg博弈、Kuhn-Tucker条件等方法研究了分散决策、单个制造商分别与零售商联盟、两个制造商联盟以及三方联盟四种策略,并得出各联盟下供应链成员的最优定价及生产决策。通过Shapley值法确定利益协调机制,并利用数值仿真对四种联盟策略进行求解和分析。研究结果表明,从制造商角度看,最优策略为三方联盟;从零售商角度看,最优策略为与单个制造商联盟;博弈均衡为三方联盟策略。%In order to analyse the issues of strategy for enterprise alliance in closed-loop supply chain,this paper developed 2-cycle models,with the method of Stackelberg game and Kuhn-Tucker conditions.It studied 4 strategies:decentralized decision making,alliance between 1 manufacturer and retail,alliance between 2 manufacturers and alliance of all.It presented the va-lue algorithm to confirm the profit coordination,and then implemented the analysis on the solution of the model by numerical simulation.The results show that,alliance of all is the best strategy for manufacturers,and alliance between 1 manufacturer and retail is the best strategy for retail.Alliance of all is the equilibrium strategy.
    • 唐敏; 邓国强
    • 摘要: 研究了一类非线性带约束的凸优化问题的求解.利用Kuhn-Tucker条件将凸优化问题等价地转化为多变元非线性方程组的求解问题.基于区间算术的包含原理及改进的Krawczyk区间迭代算法,提出一个求解凸优化问题的区间算法.对于目标函数和约束函数可微的凸优化,所提算法具有全局寻优的特性.在数值实验方面,与遗传算法、模式搜索法、模拟退火法及数学软件内置的求解器进行了比较,结果表明所提算法就此类凸优化问题能找到较多且误差较小的全局最优点.
    • 衣涛; 王承民; 谢宁; 张焰
    • 摘要: 研究电力系统潮流无解情况下的节点负荷最优调整策略对于电力系统稳定性分析非常重要.建立以节点电压和支路电流为变量的混合电力网络方程,得到以支路电流表示的节点电压的表达式和潮流无解的边界条件.以节点负荷调整量最小为优化目标得到Kuhn-Tucker条件,形成扩展的用于迭代计算的方程组,求解该方程即可得到给定条件下负荷最近的调整方向和最小的调整量值.仿真计算表明,所提方法是正确和有效的.
    • 刘燕武; 张忠桢
    • 摘要: 在紧约束函数的梯度向量线性无关这一约束规范下,运用隐函数定理和直交投影的性质,给出约束最优化问题Kuhn-Tucker一阶必要条件的一个简洁证明.
    • 曹文涛1; 夏勇1
    • 摘要: 本文利用最优化理论中经典的Kuhn-Tucker条件证明并推广了Kantorovich不等式。作为应用,将极小化正定二次函数的最速下降法的收敛速度分析推广到半正定情形。Based on Kuhn-Tucker condition in optimization theory, we extend the canonical Kantorovich inequality. As an application, the analysis on the convergence rate of steepest descent for minimizing a posi-tive definite quadratic function is extended for the positive semi-definite case.
    • 刘聪; 江志斌; 耿娜; 肖斌; 孟峰
    • 摘要: The shipping network is becoming more complex and heterogeneous with the rapid development of the container-shipping market. As such, the problem of container capacity planning is also more complex and challenging to be solved. This paper tackles the container planning problem from the carrier's perspective. To well balance a container's supply and random demand, a flexible contract with options is introduced into the one-period, two-echelon container shipping service chain, consisted of one carrier and one rental company for containers.rnSince the container-shipping market has seasonality, we discuss the container's leasing problem with options contract in two practical scenarios: the peak-season of the market and the off-season of the market. Where options are right, options can give buyer the priority rather than obligation to undertake some business decisions. After the container market demand information is updated, the carrier can obtain the new demand information at the beginning of the selling season. The carrier who purchases a part of options has the right to reconsider the optimal container quantity by leasing more containers or returning a portion of containers with the lower cost.rnIf a carrier can forecast the forthcoming selling season to be the peak-season with large demands, it should purchase call options to reduce the risk of shortage of empty containers. In contrast, if the forthcoming selling season is considered to be the off-season, the solution is given to purchase put options to reduce the holding cost. Thus, the decision processes are divided into two stages: Stage ( 1) The carrier places the initial leasing order and purchases options at the first stage according to the forecasted information; Stage (2) Options exercised decision is made based on the updated demand information towards that at the first stage. In another word, the carrier can exercise a part of options or all of the options at the second stage. Additionally, the shipping capacity constraints and the lower limit of orders in decisions are applicable to the decision model. In the peak-season, both the quantity of the leasing containers and the quantity of call options should be less than the carrier's total shipping capacity. Meanwhile, the differential quantity between the leasing containers and put options should be more than the quantity of the forwarder's fixed order in the off-season.rnThe problems are formulated as nonlinear programs with constraints and afterwards. The inductions are made and corresponding analysis is done. Our findings show that in the peak-season of the container shipping market the carrier places the container leasing order with a part of call options purchased when its shipping capacity is large enough. On the other hand, the carrier only places the container leasing order without purchasing put options when the quantity of the fixed orders with options is smaller than the quantity of the optimal leasing containers without options in the off-season of the container shipping market.rnThe numerical example shows that to address container capacity planning problem option contract can not only effectively increase the container trading quantity between the rental company and the carrier, but also can significantly improve the profit for the carrier.%集装箱运输市场的急剧发展,不断提高承运人空箱能力规划的复杂度.文章基于单租赁公司和单承运人的集装箱运输服务链,从承运人的角度出发,引入了单周期、两阶段的集装箱租赁柔性期权契约.期权契约允许承运人在市场需求信息更新以后,在期初购买的租赁期权基础上进行集装箱租赁量的调整,从而降低集装箱租赁数量不准确导致的损失.由于航运市场具有明显的季节性,因此本文从航运旺季和航运淡季两类情况出发,讨论了基于看涨期权和看跌期权各自的最优租箱策略.在研究中,考虑承运人的运力约束和固定订单约束等现实约束,应用非线性规划理论求解在约束下的承运人最优租箱策略.数值分析证明,本文设计的两阶段期权契约机制能提高承运人和租赁公司的交易量、规避承运人的空箱风险、并增加承运人的利润.
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