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stochastic optimization中文是什么意思
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- 中文翻译
- 造句
- 随机规划法
- stochastic adj. 1.机会的；有可能性的;随便的。 2.【数学】 ...
- optimization n. 最佳化，最优化。
- stochastic adj. 1.机会的；有可能性的;随便的。 2.【数学】随机的。
- doubly stochastic 双随机的
- grammar stochastic 文法随机
- random stochastic 随机的
- row stochastic 行随机的
- row-stochastic 行随机的
- stochastic abstracting 随机编制文摘
- stochastic acceleration 随机加速度
- stochastic accelerator 随机加速器
- stochastic analysis 随机分析
- stochastic approximation 随机逼近; 随机近似法
- stochastic assumption 随机假定; 随机假设
- stochastic automation 随机自动机
- stochastic automaton 概率自动机; 随机自动机
- stochastic calculus 随机计算
- stochastic chain 史托恰斯底克链
- stochastic combo 技术分析
- stochastic component 随机分量
- stochastic connection 随机联络
- stochastic consideration 或然率考虑
- stochastic continuity 随机连续性
- stochastic control 随机控制
- stochastic convergence 随机收敛
- Modeling tools and techniques include linear , network , discrete and nonlinear optimization , heuristic methods , sensitivity and post - optimality analysis , decomposition methods for large - scale systems , and stochastic optimization
模型建立工具和方法涵盖线性、网路、离散和非线性最佳化，启发式方法，灵敏度分析，事后最佳化分析，大规模系统的分解方法和随机最佳化。 - Modeling tools and techniques include linear , network , discrete and nonlinear optimization , heuristic methods , sensitivity and post - optimality analysis , decomposition methods for large - scale systems , and stochastic optimization
建模工具和方法涵盖线性规划，网络规划，离散规划，非线性规划，启发式方法，灵敏度分析，事后最优性分析，大规模系统的分解方法和随机规划。 - To reduce huge computation of the traditional stochastic optimization methods for engineering optimization , approximation model methods with acceptable accuracy for engineering design are developed based on the statistical theory
摘要针对在工程中完全采用随机类优化方法寻优时计算量过大的问题，应用统计学的方法发展了计算量小、在一定程度上可以保证设计准确性的近似模型方法。 - Markov decision process , in short mdp , is also called sequential stochastic optimization stochastic optimum control . the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision
马尔可夫决策过程( markovdecisionprocesses ，简称mdp ，又称序贯随机最优化、随机最优控制、受控的马尔可夫过程或随机动态规划)是研究随机序贯决策的问题的理论。 - This paper improves some commonly used stochastic optimization algorithms , such as genetic algorithm , simulated annealing algorithm and tabu search algorithm , and improved algorithms are verified by the standard mathematical functions . then , improved algorithms are used to solve practical electromagnetic problems and the items of practical application of algorithms worthy of paying attention to are emphasized
本文对遗传算法、模拟退火算法、禁忌搜索算法等几种常用的随机类优化算法进行了改进，以标准数学函数作为检验依据对改进算法作出评价，并将各改进的算法应用于实际电磁场逆问题的求解，总结其应用的实际经验和见解。 - The traffic model and a suit of differential equations presenting the status of the system are given first , from which an objective function is derived , and then the transmission is optimally controlled by the neural network which is characterized by nonlinear map and the particle swarm optimization algorithm which is characterized by stochastic optimization , namely the neural network is employed to generate variable rate of token generation , and the particle swarm optimization algorithm with inertia weight is employed to optimally train neural network in the form of finding a sub - optimal resolution in acceptable computation time
本文给出了传输控制的系统模型及其系统各状态的差分方程表示,由此推导出了系统的代价函数。然后利用神经网络的非线性映射的功能和基于概率寻优的粒子群优化算法对系统进行优化控制,利用神经网络控制令牌桶的可变令牌产生速率,利用带惯性权重的粒子群优化算法对神经网络的权值进行优化训练,使其在可以接受的时间内达到次优解。 - In regard to nonlinear stochastic optimization in which the restraint function was nonlinearly expressed with stochastic parameters , the advanced first - order second - moment method was employed to study the structural optimization numerical model based on component reliability or failure pattern reliability and the method to transform the problem of stochastic optimization to that of certain determinate optimization
摘要针对约束函数被随机参数非线性表达的随机非线性优化问题，采用改进均值一次二阶矩法，研究基于元件可靠度或各失效模式可靠度的结构优化的数学模型，以及将随机优化问题化为确定性优化问题的方法。 - Secondly , a stochastic optimization decision - making model for determining optimal agc capacity requirement is presented with penalties of tie - line power flow deviations taken into account . an optimal agc regulating algorithm is then suggested which reveals that a trade - off between economic efficiency and system security must be made by the market operator
在需求不确定的情况下，提出了计及联络线偏差处罚下agc容量获取和调节的随机优化模型，从而有效地确定出各台agc机组的最优调度出力； 3 - The stochastic optimization method is brought forward , which makes a great amount of simulation of other bidder ' s biding in electrical market , as for every simulation , genetic algorithm is applied to solve the optimization problem , in consideration of the restraint of direct current network , one optimal bid is got , then using the average optimal bids in a great number of simulations as the last optimal bids . the program using c + + language of this method is programmed and examples are discussed for simulation , examples prove the bidding method ' s validity
最后基于第五章的分析，提出了一种采用随机优化和遗传算法相结合的竞价方法，即对电力市场中各个竞争对手的报价作为随机变量进行大量模拟，针对每一次模拟，在考虑直流潮流网络约束的情况下，用遗传算法求出一次模拟对应的最优报价，然后把大量模拟样本求得的最优报价的均值，作为最优报价。 - Pseudo excitation method ( pem ) is used , thus one random process excitation can be transformed into a deterministic transient excitation , so the joint - random problem is turned into a single - random problem accurately , it can be solved easily by means of perturbation method and sequence orthogonal decomposition theory respectively . the probabilistic approach is used to transform stochastic optimization into deterministic optimization , therefore the optimization can be achieved through multiple objective decision making theory
以虚拟激励法为基础，将随机过程激励转化为确定性动力激励，从而将复合随机问题精确地转化为仅结构参数具有随机性的问题，分别利用摄动理论和次序正交分解理论推导了确定性动力激励下随机结构响应特征，采用概率方法将随机优化问题转化为确定性优化问题，从而可以通过多目标决策理论进行结构优化设计。
Stochastic optimization (SO) methods are optimization methods that generate and use random variables. For stochastic problems, the random variables appear in the formulation of the optimization problem itself, which involve random objective functions or random constraints, for example.
详细百科解释
- stochastic optimizationとは意味：確率的最適化｛かくりつてき さいてきか｝
- 推荐英语阅读
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Last modified time:Mon, 18 Aug 2025 00:29:56 GMT
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