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混合智能算法     
相关语句
  hybrid intelligent algorithm
    Finally, we integrate fuzzy simulation, neural networks, and genetic algorithm to produce a hybrid intelligent algorithm in order to solve general fuzzy expected value models.
    最后将模糊模拟,神经网络,遗传算法相结合,设计出了求解复杂模糊期望值模型的混合智能算法
    Fuzzy Transportation Problem and Its Hybrid Intelligent Algorithm
    一类模糊运输问题及其混合智能算法
短句来源
    Assignment Problem in Uncertain Environments and Its Hybrid Intelligent Algorithm
    不确定环境中的指派问题及其混合智能算法
短句来源
    For some special cases, the crisp equivalents are given, and forgeneral cases, a hybrid intelligent algorithm is designed by integrating fuzzy simu-lation, neural network and genetic algorithm.
    对简单的情形本文给出了这些模糊多层规划模型的确定等价式,对一般的情形本文则设计了集模糊模拟、神经元网络和遗传算法于一体的混合智能算法来求解。
短句来源
    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
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  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
    Desgined a mixed intelligent arithmetic by using the technique of combing the stochastic simulation with fuzzy simulation and particle swarm optimization algorithm to solve this kind of problems.
    基于粒子群算法运用随机模拟和模糊模拟相结合的技术,给出了一种求解该规划模型的混合智能算法
短句来源
    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
    The uncertain programming was studied by many researchers such as Baoding Liu. The hybrid intelligent algorithm integrated by simulation, neural networks and genetic algorithm has been applied in solving the expected model, chance-constrained programming, and dependent-chanced programming with stochastic, fuzzy ,rough environment and so on.
    刘宝碇等研究了不确定规划理论,在随机、模糊、粗糙等不确定环境下用模拟、神经元网络、遗传算法组成的混合智能算法解决了设备选址、并行机排序等问题的期望值模型、机会约束规划模型、相关机会规划模型。
短句来源
    In this paper, the hybrid intelligent algorithm is improved. A new hybrid intelligent algorithm integrated by rough simulation, neural networks and simulated annealing is applied to optimize the production-inventory model of chance-constrained programming with rough environment.
    在本文中,对此算法进行了改进,用粗糙模拟、神经元网络、模拟退火算法组成新的混合智能算法对在粗糙环境下的生产储存问题的机会约束规划模型进行了求解。
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
    The hybrid intelligent algorithm integrated by simulation and genetic algorithm has been applied in solving the flow shop scheduling with fuzzy processing times by Peng and Liu.
    彭锦和刘宝碇用模拟技术和遗传算法组成的混合智能算法求解了含模糊加工时间的流水车间排序问题。
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
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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


    The expectation disposal model of the uncertain program, probability measurement analysis model, success of maximal event probability model are analysed and determined. Multiplayer program model, uncertain Monte-Carlo program, the interval of decision-making and weight program of decision-making and weight program of the uncertain multiplayer attribute, also the program of uncertain structure neural network optimal model in the uncertain environment are given,. And provide the intelligent algorithm of the uncertain...

    The expectation disposal model of the uncertain program, probability measurement analysis model, success of maximal event probability model are analysed and determined. Multiplayer program model, uncertain Monte-Carlo program, the interval of decision-making and weight program of decision-making and weight program of the uncertain multiplayer attribute, also the program of uncertain structure neural network optimal model in the uncertain environment are given,. And provide the intelligent algorithm of the uncertain program is given aswell. Because the appearance and substance of the uncertain complicated problem are different., the way and method of effective analysis and evaluation are also different. So the scientific description and quantitative analysis are not only the further premise of the problem, but also the safeguard of the complicated system抯 optimization.

    分析并建立不确定规划的期望值处理模型,机会测度分析模型,极大化事件实现机会的数学模型。给出不确定环境下多层规划的数学模型,不确定Monte-Carlo规划,不确定多属性决策区间熵权规划以及不确定结构规划的神经网络优化模型。并给出不确定规划的混合智能算法。不确定复杂问题决策系统表象和实质各异,有效分析、评价的方式和方法多样,定量的和科学的描述与解析既是问题的深入的前提,也是复杂系统得以优化的保障。

    We investigate a more practical assignment problem under fuzzy environment, that is, the elements of profit matrix and time matrix in the assignment problem are fuzzy variables. To obtain a directive decision, we construct a mathematical model for the fuzzy assignment problem based on chance-constrained programming and dependent-chance programming in fuzzy environment. In addition, since there are many complex fuzzy variables in the mathematical model, we design the tabu search algorithm to solve the model based...

    We investigate a more practical assignment problem under fuzzy environment, that is, the elements of profit matrix and time matrix in the assignment problem are fuzzy variables. To obtain a directive decision, we construct a mathematical model for the fuzzy assignment problem based on chance-constrained programming and dependent-chance programming in fuzzy environment. In addition, since there are many complex fuzzy variables in the mathematical model, we design the tabu search algorithm to solve the model based on fuzzy simulation. Finally, we give a numerical example to show the efficiency of the algorithm.

    研究了一类更加贴近于现实生活的模糊环境中的指派问题,即利润矩阵和时间矩阵中的元素均为模糊变量的指派问题。并借鉴针对模糊环境中的优化问题提出的机会约束规划模型和相关机会规划模型的思想,建立了模糊指派问题的数学模型。此外,考虑到模型涉及大量具有复杂性和多样性的模糊变量,设计了一种混合智能算法,即基于模糊模拟的禁忌搜索算法来求解模型的近似最优解。最后,通过一个算例说明了所建立的模型和所设计算法都是行之有效的。

    In this paper,the property of feasible solution set in ICC(β)is discussed assuming that the random variables of(SP)are discrete;Based on an integrated genetic algorithm with hill climbing and the method of adding constraints,a hybrid algorithm is given.Experiments show that this algorithm is efficient compared with that of 3,and it can also be an approach algorithm for ICC(β)with continuous random variable.

    讨论了当随机规划的随机变量服从离散分布时,合成机会约束模型(ICC(β))中约束集合的结构;利用适合全局搜索的遗传算法以及局部搜索能力很强的爬山算法,结合逐次增加约束方法,给出了计算该模型的混合智能算法;实例验证了该算法的有效性。该算法也可作为含连续随机变量的(ICC(β))的逼近算法。

     
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