stochastic optimization 中文意思是什麼
stochastic optimization
解釋
隨機規劃法- stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
- optimization : n. 最佳化，最優化。
-
Optimal calibration of ship degaussing system using stochastic particle swarm optimization
採用隨機微粒群演算法的艦船消磁系統優化調整 -
After generalizing the characteristic of modern equipment, the mission of equipment management and general situation of chinese equipment management, basied on two forms of equipment management - - - - - - practicality & value, the author combined quantitative & qualitative methods with example to analyze and discuss questions, especially the reasonable update & depreciation, accordingly achieving the optimization of the technical efficiency & economic benefit 0 one of emphases of the thesis is methods application of equipment reasonable update, that is starting with economic benefit to looking for reasonable using fixed number of year. the thesis used inferior - converted numeric method and rate equation which based on the theory square and combined with harbor loading machines & tugboat ' s actual facts, calculated the economic life of the same machine in order to make sure harbor machines " reasonable using fixed number of year. at the same time, the author made use of midpoint value regress method and stochastic trapeziform forecast method to calculate and analyze and gain the reasonable conclusion o the other emphases is questions of harbor equipment
本文概括介紹了現代設備的特點、設備管理的任務以及我國設備管理發展的概況后，作者從設備經濟管理的兩種形態? ?實物形態和價值形態出發，採取定量與定性相結合，以定量為主，結合實例進行分析與論述，對港口設備的合理更新與折舊問題進行了著重研究，從而實現設備的技術效能和經濟效益的最優化。本文研究的重點之一是設備合理更新的方法應用，即從經濟效益出發，來尋求設備的合理使用年限。本文結合港口裝卸機械和港作拖輪的實際，運用以正方形理論為基礎的低劣化數值法和費用方程兩種方法，計算了同一種機械設備的經濟壽命，從而確定港機合理的使用年限，同時，運用了中點值回歸法和隨機梯形預測法進行計算和分析，得到了合理的結論。 -
A new ant colony optimization algorithm for stochastic loader problem
隨機裝卸工問題的新型變異蟻群演算法 -
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
最後基於第五章的分析，提出了一種採用隨機優化和遺傳演算法相結合的競價方法，即對電力市場中各個競爭對手的報價作為隨機變量進行大量模擬，針對每一次模擬，在考慮直流潮流網路約束的情況下，用遺傳演算法求出一次模擬對應的最優報價，然後把大量模擬樣本求得的最優報價的均值，作為最優報價。 -
The consumption - wealth ratio, the mean growth rate of economic and the portfolio shares were derived by using stochastic optimization method
通過隨機最優化方法，確定了均衡狀態下的消費財富比，期望經濟增長率以及貨幣資本的份額。 -
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
馬爾可夫決策過程（ markovdecisionprocesses ，簡稱mdp ，又稱序貫隨機最優化、隨機最優控制、受控的馬爾可夫過程或隨機動態規劃）是研究隨機序貫決策的問題的理論。 -
Considering chance constrained programming is a well developed stochastic optimization method which can describe risk in an explicit manner, with the premised market trading protocols, a chance constrained programming based model for describing the optimal bidding strategies of distribution companies in a pool co - type transmission and distribution separated electricity market is presented, and solved by genetic algorithm
鑒于機會約束規劃作為一類快速發展的隨機優化方法能以顯式的形式刻畫風險，針對以聯營體為基礎的輸配分開電力市場，在假設的市場交易規則基礎上，構造了在現貸市場中基於機會約束規劃的供電公司最優報價策略模型，並採用遺傳演算法求解。 -
Sa is a stochastic optimization technique and a zero - order algorithm requiring no derivative information and has been used extensively to solve continuous, ordered discrete and multi - modal optimization
模擬退火法（ kirkpatrick等， 1983 ）是一種隨機的優化技術，它是零階演算法，不需要導數信息，廣泛地用於解決連續的、有序離散及多模態優化問題。 -
On the base of comparation of several methods, the viewpoints of the author are presented in the paper. in the fifth chapter, a general stochastic optimization method ? tochastic approaching methods, is studied. comparing to the above - mentioned stochastic methods, this method is more convenient to be applied in practice and the better optimization result is expected
最後，本文首次將隨機逼近法引入滲透系數隨機反演的研究領域，建立了隨機逼近反演滲透系數的計算公式和計算步驟，並將該法與gauss - markov法、 bayes法和廣義bayes法進行了對比，提出了自己的觀點。 -
Sa is a stochastic optimization technique that has been used to solve continuous, order discrete and muti - modal optimization problems
模擬退火演算法是一種用於解決連續、有序離散和多模態優化問題的隨機優化技術。 -
The insurance company can also acquire various insurance products with stochastic interest by different combinations of parameters. establish a stochastic optimization model based on aggregate model of life insurance with stochastic interest
保險公司通過參數的組合選擇，得到不同的隨機利率下的保險產品；同時，建立了隨機優化模型。 -
Functions optimization for multi - modal functions optimization and non - stationary are one of important research subjects of function optimization. both of the problems are difficult to be solved by stochastic optimization algorithms in existence
多模態函數和時變函數的隨機優化問題是函數優化的重要研究內容，也是一個難以解決的問題。 -
He holds a phd in theoretical physics from the technical university of chemnitz, germany, where he investigated stochastic optimization algorithms on parallel computers
他從德國chemnitz技術大學獲得理論物理博士學位，在大學里他研究了并行計算機上的隨即最優化演算法。 -
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
以虛擬激勵法為基礎，將隨機過程激勵轉化為確定性動力激勵，從而將復合隨機問題精確地轉化為僅結構參數具有隨機性的問題，分別利用攝動理論和次序正交分解理論推導了確定性動力激勵下隨機結構響應特徵，採用概率方法將隨機優化問題轉化為確定性優化問題，從而可以通過多目標決策理論進行結構優化設計。 -
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
本文給出了傳輸控制的系統模型及其系統各狀態的差分方程表示，由此推導出了系統的代價函數。然後利用神經網路的非線性映射的功能和基於概率尋優的粒子群優化演算法對系統進行優化控制，利用神經網路控制令牌桶的可變令牌產生速率，利用帶慣性權重的粒子群優化演算法對神經網路的權值進行優化訓練，使其在可以接受的時間內達到次優解。 -
The stochastic optimization algorithm is studied and the model of the power management system is presented
摘要研究了隨機最優演算法，並建立了該演算法的電源管理系統模型。 -
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
本文對遺傳演算法、模擬退火演算法、禁忌搜索演算法等幾種常用的隨機類優化演算法進行了改進，以標準數學函數作為檢驗依據對改進演算法作出評價，並將各改進的演算法應用於實際電磁場逆問題的求解，總結其應用的實際經驗和見解。 -
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
摘要針對在工程中完全採用隨機類優化方法尋優時計算量過大的問題，應用統計學的方法發展了計算量小、在一定程度上可以保證設計準確性的近似模型方法。 -
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蓋線性、網路、離散和非線性最佳化，啟發式方法，靈敏度分析，事後最佳化分析，大規模系統的分解方法和隨機最佳化。 -
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
摘要針對約束函數被隨機參數非線性表達的隨機非線性優化問題，採用改進均值一次二階矩法，研究基於元件可靠度或各失效模式可靠度的結構優化的數學模型，以及將隨機優化問題化為確定性優化問題的方法。
分享友人