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   混合智能算法 在 宏观经济管理与可持续发展 分类中 的翻译结果: 查询用时:0.671秒
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混合智能算法     
相关语句
  hybrid intelligent algorithm
    Moreover, in order to figure out the results of those models, we design a hybrid intelligent algorithm, which is composed of network expansion algorithm, simulation, neural network and genetic algorithm.
    为了求解所建立的模型,设计了由网络扩张算法,模拟,神经元网络以及遗传算法组成的混合智能算法
短句来源
    Based on the problem of singlestage network bottleneck capacity expansion, according to different criteria, we bring forward three kinds of multistage network bottleneck capacity expansion programming, including expected value model, Chance-constrained programming model, and Dependent-chance programming mode, apply dynamic programming approach to deal with those multistage problems, and come out with the relevant hybrid intelligent algorithm in the third part (i.e. Chapter Four).
    基于第二部分的单阶段网络瓶颈容量扩张问题的基础,本文的第三部分(即第四章)根据不同的准则,提出了三种随机型多阶段网络瓶颈容量扩张规划,包括期望值模型,机会约束模型,相关机会模型,我们通过应用动态规划的方法来处理该多阶段的问题,给出了相应的混合智能算法
短句来源
    So thesis divides projection period of the logistics distribution center into some stages on the basis of market stochastic demand characteristic, then starts with stochastic needs in different stages and at the same time uses the hybrid intelligent algorithm to simulate and solve this problem, finally inverts the dynamic location of multi-stages problem into the shortest path problem.
    鉴于此,本文首先依据市场随机需求的特点划分物流配送中心的规划期成若干阶段; 再以各阶段内需求的随机性作为出发点,运用混合智能算法模拟,求解在特定阶段内以及该阶段对应的需求分布下的单配送中心选址问题;
短句来源
    (4)enlightened by Liu’s thought that solve the uncertain programming with hybrid intelligent algorithm, we design a hybrid intelligent algorithm, that is, genetic algorithms based on simulation to achieve the approximate best solution of the nine above mentioned models.
    (4)受Liu等人提出的用混合智能算法求解不确定规划的思想的启发,结合运输模型的特殊结构,设计了一种基于模拟的、求解不确定性运输问题的遗传算法。
短句来源
    For solving these fuzzy models,fuzzy simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm,and a numerical example is given to illustrate its effectiveness.
    为了有效求解优化模型,我们将模糊模拟和遗传算法相结合给出了混合智能算法. 最后通过数值例子说明算法的有效性.
短句来源
更多       
  hybrid intelligence algorithm
    According to theory of uncertain program, and base on the analysis of the construction of remanufacturing reverse logistics network, EVM (Expected value Programming) for the remanufacturing reverse logistics network was presented by treating the quantity and quality of recycled products and requirement of the "new" remanufactured products as stochastic parameters. And the solution scheme was pursued by the hybrid intelligence algorithm (genetic algorithm combined with stochastic simulation technique) as well.
    基于不确定规划相关理论,在分析再制造逆向物流网络结构的基础上,将各个回收/消费市场的回收产品的数量、质量以及“新”产品的需求量看作随机参数,提出了再制造逆向物流网络的随机期望值模型,并利用遗传算法与随机模拟相结合的混合智能算法设计了该模型的求解算法。
  mixed intelligent arithmetic
    A mixed intelligent arithmetic for random expected value model is designed and simulation is done aiming at revenue-sharing contract coordination model,and the impacts of variety of revenue-sharing contract parameters on supply chain members' performance are discussed.
    设计了求解随机期望值模型的混合智能算法,进行了收入共享契约协调模型仿真实验,探讨了收入共享契约参数变化对供应链成员绩效的影响。
短句来源
  the hybrid intelligent algorithm
    So thesis divides projection period of the logistics distribution center into some stages on the basis of market stochastic demand characteristic, then starts with stochastic needs in different stages and at the same time uses the hybrid intelligent algorithm to simulate and solve this problem, finally inverts the dynamic location of multi-stages problem into the shortest path problem.
    鉴于此,本文首先依据市场随机需求的特点划分物流配送中心的规划期成若干阶段; 再以各阶段内需求的随机性作为出发点,运用混合智能算法模拟,求解在特定阶段内以及该阶段对应的需求分布下的单配送中心选址问题;
短句来源
    A fuzzy expected value model of oilfield measures planning is put forward, in which the output increment maximizing of oilfield measures is as objective, and the cost and the work amount of the measures are also taken into account. At the same time, the hybrid intelligent algorithm of the model is presented.
    以油田措施增产最大化为目标,兼顾成本、工作量等目标,建立了油田措施规划的模糊期望值模型,并给出了模型的混合智能算法.
短句来源
    The given Stackerlberg model was solved by the hybrid intelligent algorithm,including Monte Carlo simulation,artificial neural network,and genetic algorithm.
    应用包括随机模拟、人工神经元网络和遗传算法组成的混合智能算法求解该主从对策问题。
短句来源

 

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      hybrid intelligent algorithm
    The designed hybrid intelligent algorithm by embedding the trained neural network into genetic algorithm can optimize the general grey fuzzy programming problems.
          
    Finally, one numerical example is provided to illustrate the effectiveness of the model and the hybrid intelligent algorithm.
          
    In order to solve general fuzzy programming models, a hybrid intelligent algorithm is also documented.
          
    The hybrid intelligent algorithm described in Section 3 was then applied.
          
      其他


    To deal with deficiency of Resource Constrained Project Scheduling Problem(RCPSP) model,a project scheduling model with engaged time windows constraint was proposed after surveying enterprises' demands.After analyzing the characteristics of the proposed model and the shortcomings of existing algorithms for model,a hybrid algorithm which combined branch-and-bound procedure and heuristic algorithms was presented.The simulation results demonstrated that the optimization effect of the proposed algorithm was better...

    To deal with deficiency of Resource Constrained Project Scheduling Problem(RCPSP) model,a project scheduling model with engaged time windows constraint was proposed after surveying enterprises' demands.After analyzing the characteristics of the proposed model and the shortcomings of existing algorithms for model,a hybrid algorithm which combined branch-and-bound procedure and heuristic algorithms was presented.The simulation results demonstrated that the optimization effect of the proposed algorithm was better than other algorithms.

    针对有资源约束的项目调度问题模型的不足,调研了企业需求,提出了带有预约时间窗口约束的项目调度模型,并针对该类模型的特点分析了原有算法存在的问题,将分枝定界算法与启发式算法相结合,提出了一种解决该类问题的混合智能算法。仿真结果表明,该算法的优化效果明显优于其他算法。

    Production planning with fuzzy demands is described,and three types of fuzzy programming model are proposed.For solving these fuzzy models,fuzzy simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm,and a numerical example is given to illustrate its effectiveness.

    描述了基于客户需求为模糊量的批量生产提前/拖期交货的生产计划,并建立了模糊环境下的三个模型.为了有效求解优化模型,我们将模糊模拟和遗传算法相结合给出了混合智能算法.最后通过数值例子说明算法的有效性.

    Measures planning is necessary to output-increasing and output-stabilizing, output stability time prolonging, recovery cost reducing, production rate enhancing and recovery factor enhancing of Changqing Oilfield. A fuzzy expected value model of oilfield measures planning is put forward, in which the output increment maximizing of oilfield measures is as objective, and the cost and the work amount of the measures are also taken into account. At the same time, the hybrid intelligent algorithm of the model is presented....

    Measures planning is necessary to output-increasing and output-stabilizing, output stability time prolonging, recovery cost reducing, production rate enhancing and recovery factor enhancing of Changqing Oilfield. A fuzzy expected value model of oilfield measures planning is put forward, in which the output increment maximizing of oilfield measures is as objective, and the cost and the work amount of the measures are also taken into account. At the same time, the hybrid intelligent algorithm of the model is presented. A case shows that the theoretical basis of the model is rigorous, the solving method is scientific, effective and intellectual. The study provides a new decision-making basis for oilfield measures planning.

    措施规划对延长油田增产稳产年限、降低开采成本、提高采油速度和采收率、实现措施优化配置十分必要.以油田措施增产最大化为目标,兼顾成本、工作量等目标,建立了油田措施规划的模糊期望值模型,并给出了模型的混合智能算法.实例表明,该模型理论基础严格,求解方法科学有效,并具有一定的智能性,为油田措施规划提供了新的决策依据.

     
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