stochastic optimization的例句大全

According to the non-deterministic property of stochastic optimization problems, a class of simulated annealing approach based on hypothesis test is proposed.

针对随机优化问题的不确定性，提出一类基于假设检验的模拟退火算法。

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for stochastic optimization problems, genetic ordinal optimization approach is proposed, which combines the optimal computing budget allocation ( ocba) technique with the proposed order-based ga.

针对随机优化问题，一方面，通过结合最优计算量分配（OCBA）技术和所提出的基于序的遗传算法，提出了遗传序优化方法；

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based on ordinal optimization and optimal computing budget allocation, the considered issue was regards as a stochastic optimization problem and a systematical method to determine optimal parameters and operators for ga with limited computation effort was proposed.

为此，基于序优化和最优计算量分配技术，通过将问题描述为随机优化问题，提出了一种确定有限计算量下最佳GA参数和操作的系统性方法。

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A stochastic optimization algorithm, AACO, is proposed by combining ant colony optimization ( ACO) algorithm with Alopex algorithm that is a stochastic optimization method for solving continuous space optimization problems.

通过将蚁群优化算法（Ant colony optimization，ACO）与一种随机优化方法&Alopex算法相结合，提出一种随机蚁群混合算法（AACO）求解连续空间优化问题。

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genetic algorithms is a novel stochastic optimization technique which simulates the natural evolution process.

遗传算法是一种模仿自然进化进程的新颖的启发式优化方法.

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Stochastic Expected Value Model for Multiple Bus Headways Optimization

多时段公交发车间隔优化的随机期望值模型

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dynamic optimization design of mechanical system undergoing unsteady stochastic excitation

非平稳随机激励的机械系统动态优化设计方法

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Stochastic reservoir optimization for two river basins with different hydrological regimes

在不同水文系统的两个流域的随机水库优化

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A Particle Swarm Optimization Model with Stochastic Inertia Weight

具有随机惯性权重的PSO算法

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First an event-driven stochastic switching model is introduced for power-managed systems. Under this model, the problem of dynamic power management is formulated as a constrained policy optimization problem.

通过建立动态电源管理系统的随机切换模型，将动态电源管理问题转化为带约束的策略优化问题，并给出一种基于矢量合成的策略梯度优化算法。

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Solving these problems required the integrated use of financial mathematics, insurance, probability, stochastic analysis and optimization.

解决这些问题需要综合运用金融数学与保险数学领域的多种理论和方法。

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In this paper a simulation model for stochastic assembly line balancing and optimization is discussed.

本文探讨了如何利用仿真方法搜寻随机装配线的平衡及优化问题，文中给出了一种经过改进的、在微机上实现的启发式平衡搜寻方法。

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Then by utilizing the features of this model an online optimization algorithm that combines policy gradient estimation and stochastic approximation is derived.

利用此模型的动态结构特性，结合在线学习估计梯度与随机逼近改进策略，提出动态电源管理策略的在线优化算法。

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Stochastic optimal control is an important content of the optimization theory for uncertain systems too.

随机最优控制也是随机不确定系统优化的一个重要内容。随机最优控制的目标函数，可分为折扣费用问题和平均期望费用问题等。

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an optimization theory of powell's conjugation directional method was employed in subsidence back-analysis prediction for stochastic medium model and peck volume loss model.

基于最优化理论的共轭方向加速法，研究了地铁隧道施工引起地面沉降的Peck法与随机介质法各自的多参数反分析方法；

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this paper researches the application of the stochastic parallel gradient descent ( spgd) optimization algorithm on the beam cleanup system.

就随机并行梯度下降（SPGD）最优化算法在光束净化系统中的应用展开研究。

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Global optimization algorithms can be classified into two types : stochastic techniques and deterministic techniques.

综述了相平衡计算中常用的全局优化算法,并对其现状做了比较.

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Establish an optimization model based on aggregate model of life with stochastic interest.

为此，本文建立了随机利率下的综合人寿保险模型。

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For the hydro optimization the best method is the stochastic dynamic programming.

对于水电系统随机动态规划是最好的优化方法.

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Particls swarm optimization ( PSO ) algorithm is a stochastic global optimization method.

粒子群优化算法是一种全局随机优化算法.

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