本文提出了一种电网规划的模糊随机优化模型。
This paper presents a new optimization model for power network planning.
采用遗传算法和蒙特卡洛随机模拟相结合对上述随机优化模型进行求解。
The Genetic Algorithms combined with Monte Carlo Algorithms (MC) is introduced for solving the problems.
本文研究了净现金流为随机过程情况下的企业价值，并建立了企业价值的随机优化模型。
This article studies the value of the firm under the condition of stochastic future net cash flows, and builds up the stochastic optimization model of the firm value.
在对供应链中需求、运输、库存、产品生产分析的基础上，提出了一种解决厂家供应链整体优化的随机线性规划模型。
On the basis of analyzing in the demand, transport, inventory and production in supply chain, the paper puts forward a random linear planning model solving supply chain optimization.
算例表明：文中提出的随机结构分析和优化模型与设计方法是合理、可行和有效的。
A numerical example shows that the structural analysis and optimization design model and method in this paper are valid and feasible.
有鉴于此，以随机模拟法为基础，建立了求解防洪发电相结合的水库群防洪库容优化模型。
To solve the problems, this paper develops an optimum model based on random simulation method for solving volume of reservoir group flood control.
第三，集中重点描述了随机动态规划在资产负债管理中的应用，包括基本概念、完整的优化模型及应用的步骤等。
Following, it describes in detail of the dynamic stochastic programming model used in asset liability management, consisting of the basic concepts, optimizing model and the steps.
讨论带有收益保障的养老金计划在随机利率模型下的优化管理问题。
This paper deals with the optimal management of the pension fund with guarantee under CIR model.
该模型直接计及了规划过程中所存在的模糊、随机因素对网络结构优化的影响。
In this model the effects of fuzzy and stochastic factors pertaining in the planning process are considered directly.
考虑随机性、模糊性的影响，建立了DH106动力箱的多目标可靠性模糊优化模型。
Taken account of the influence of stochasticness and fuzziness, multi objective reliability fuzzy optimization model of DH106 dynamic box is established.
文中比较了梯级水电优化调度的确定性模型和随机模型，并着重探讨了确定性模型。
In this paper, the deterministic model of cascaded hydropower station optimal scheduling is compared with the stochastic model, and the deterministic model is mainly researched.
考虑随机性、模糊性的影响，建立了DH106动力箱的多目标可靠性模糊优化模型，并运用此优化方法，进行了DH106动力箱的可靠性模糊优化设计。
Taking account of the influences of randomness and fuzziness, multi objective reliability fuzzy optimization model of DH106 dynamic box is established, and it is solved by the above mentioned method.
考虑到设计参数的随机性，给出了偏曲轴输入少齿差行星减速器设计的可靠性优化数学模型。
Considering the randomization of design parameters, a dependability optimization mathematics model is given for the planet reducer of a few tooth difference with biasing bent shaft.
利用随机生成数据进行的模型试验表明，模型可以在较短的时间内求解较大规模的收益管理优化问题。
With randomly generated data, the preliminary computational test shows that the large scale model which is close to real application size can be solved within reasonable time.
结合混沌变量的随机遍历特性，将混沌优化算法应用于输电网非线性混合整数规划模型的优化求解。
Given the stochastic and ergodic characteristics of fuzzy variables, a chaos optimization algorithm is introduced to solve the planning problem.
在离散微粒群算法的基础上，提出了一种基于二进制的随机多目标P SO算法，并对感知模型进行覆盖优化。
Then a binary awareness model based on stochastic sensor placement and a stochastic multi-objective PSO arithmetic based on binary system which is applied on awareness model have been present.
作为仿生神经元数学模型，随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。
As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.
通过对地震记录子波估计的理论模型试验，结果表明这种混沌的优化算法比单一的随机优化方法具有很好的实际效果和应用前景。
The model test results of seismic wavelet estimation show that the method is more efficient than that only use stochastic optimization algorithm.
在随机规划学的基础上，建立了电厂优化配煤的多目标机会约束数学模型。
Based on stochastic programming, a multi objective chance constrained optimization model is developed for an illustrative coal blending problem.
本文分为两部分，第一部分主要讨论几个随机经济增长模型，第二部分主要讨论经济增长的随机动态优化问题。
The paper consists of two parts mainly, the first part discusses stochastic models of economic growth, the second part analyzes stochastic dynamic optimal problems.
提出了基于场景的多目标随机规划模型来构建不确定市场需求环境下的能力计划问题模型，并用改进的多目标粒子群优化算法求解。
We formulated scenario based multi-objective stochastic programming model to describe the problem of capacity planning under uncertainty and applied improved Multi-Objective PSO (MOPSO) to solve it.
研究了考虑参数随机性的结构静动态特性稳健性优化设计问题的数学模型和数值求解。
The perturbation-based stochastic finite element analysis incorporating structural optimization techniques is employed in the structural robust design problem.
研究了考虑参数随机性的结构静动态特性稳健性优化设计问题的数学模型和数值求解。
The perturbation-based stochastic finite element analysis incorporating structural optimization techniques is employed in the structural robust design problem.
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