懲罰函數 的英文怎麼說
中文拼音 [chéngfáhánshǔ]
懲罰函數
英文
penalty function- 懲 : 動詞1. (處罰) punish; penalize 2. [書面語] (警戒) take or give warning
- 罰 : Ⅰ動詞[書面語] (處罰) punish; penalize; fine; forfeit Ⅱ名詞(處罰) punishment; penalty
- 函 : 名詞1. [書面語] (匣; 封套) case; envelope 2. (信件) letter 3. (姓氏) a surname
- 數 : 數副詞(屢次) frequently; repeatedly
- 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
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On the basis of analyzing limitation of using penalty function method dealing with constraints, an amending method based on the knowlege regulating strategy is suggested to amende the mapping relationship of infeasible constraints in decoding, thus making the regulated individuals map into the space to obtain the most promising optimal solution
在分析懲罰函數法對約束處理效率較低的情況下,提出了一種基於知識調整策略的修正法,對解碼中不滿足約束的映射關系進行修正,使調整后個體映射到最有希望獲得最優解的空間中。The one - dimensional binary code is used to encode the algorithm because it is suitable to express genetic operators
為了加快演算法的收斂,在適應值函數中引入了懲罰函數,可以保證所求約簡既含較少屬性又有較強支持度。According to the work condition of one 1450 five - stand tandem cold mill, reduction distribution as decision variable, the penalty function was established, in which rolling pressure distribution ratio was as objective function and the constraint condition of reduction distribution was as penalty term
根據某1450五機架冷連軋機生產工況,以壓下量分配為自變量,以軋制力成比例分配為目標函數,將壓下量分配的約束條件作為懲罰項,建立懲罰函數。This paper proposes the array chain chromosome coding and the adaptive ga ( aga ) that combines the self - adaptive mutation probability and simulation anneal punishment function
提出了數組鏈染色體編碼方式,以及基於自適應性變異概率和模擬退火懲罰函數法的適應性遺傳演算法( aga ) 。In this paper, an optimal model for arrangement is designed, which is with multi - objective function and nonlinear constraints, and an improved genetic algorithm with penalty strategy is proposed to solve the optimization problem
本文建立生料漿調配過程的優化模型,針對模型中的多目標函數以及非線性約束特點,提出一種結合懲罰策略的改進遺傳演算法進行尋優。Regard to the disposed of constraints, the extreme penalization functions are employed
採用了極端的懲罰函數法來處理約束問題。( 4 ) penalty function method is used to import the constrains into the objective function
( 4 )本文利用「懲罰函數法」將約束問題轉變為無約束問題。Then the thesis give an example of impact - absorber. the example implement the multibody design optimization method together with dynamic analysis techniques and penalty function method
並以彈簧阻尼器為例,實現了了動力學分析與懲罰函數法相結合解決多體系統最優化問題的方法。The system build common multibody design optimization model, and for the first time using penalty function method and multibody dynamics implement the common multibody design optimization method
建立了多體系統優化的通用數學模型,首次採用懲罰函數方法實現了多體系統優化設計的通用方法。So the improvement, such as the self - adaptive fitness function combined with the penalty function methods, self - adaptive crossover probability and the bp operator enlightened by neutral network, especially the bp network to improve the local optimal capacity were used
其次結合懲罰函數法對適應度進行了優化。採用自適應交叉概率。受神經網路中bp演算法的啟示,構造bp運算元,提高小種群遺傳演算法的局部搜索尋優能力。By introducing the concepts of constraints measure and feasible degree, the extent to which the decision variables subject to the inequality constraints and equality constraints is described and then the self - adaptive penalty function is constructed, whose values are adaptively changed with the constraints feasible degree
該策略通過引入約束可行測度、可行度等概念來描述決策變量服從于不等式約束和等式約束的程度,並以此構造處理約束條件的自適應懲罰函數,懲罰值隨著約束可行度的變化而動態自適應地改變。For the mathematics model of differential / algebraic equation system, the penalty function is introduced in numerical computation, and runge - kutta method and newton - raphson method are used respectively in solving the ordinary differential equations and nonlinear equation systems. the process and the results are carried out under corba environment
本論文採用近年發展的懲罰函數方法進行數值積分,對于常微分方程,採用runge - kutta方法進行數值積分,對于代數方程,採用newton - raphson迭代方法求解,並在corba環境下實現。A mathematic model with time penalty function for the vehicle - scheduling problem built in this paper is divided into two sub - problems of clustering and routing
本文針對有時間窗的車輛調度問題,建立了含有時間懲罰函數的數學模型,並將之分解為分群主問題和巡迴子問題兩個求解過程。In the optimal calculation of pipe networks, using genetic algorithms to optimize, by natural number coding. then this thesis simply discuss the selection of initial genetic colony and the reasonable value of penalty function multiplier. it improve the constringency speed of genetic algorithms
在管網優化計算部分,採用遺傳演算法,用自然數編碼的方式進行遺傳優化,對初始種群的優選,適合度函數中懲罰因子的取值,作了初步的探討,提高了遺傳優化的收斂速度。Because the uses of svm depends on the selection of kernel function parameter and error warning factor, mebml is used to search for the best parameters, provide a new way of combining support vector machines and mebml to classify and recognize, it solves the problem of svm ' s parameters selection, simulating on the orl face image database, the result shows improved face recognition base on support vector machine are effective
由於支持向量機的推廣性取決于核函數參數與誤差懲罰因子的選擇,為此採用思維進化演算法對其參數進行優化選擇,提出支持向量機與思維進化演算法相結合的新型演算法進行分類識別,演算法解決了支持向量機參數選取的難題,利用orl人臉庫進行模擬實驗,結果表明,基於改進的支持向量機的人臉識別技術識別效率高、方法有效。Define a radial basis function ( rbf ) at center of each cluster and learning a two - layer neural network which consists of these rbfs, simultaneously, for the purpose of avoiding over - fitting, we make use of ridge regression method, which adding a weight penalty term including a appropriate regularization parameter on the cost function and then lead to a more smooth function
為每一個簇的中心定義相應的徑向基函數( radialbasisfunction , rbf ) ,再對這些徑向基函數構成的兩層神經網路進行訓練,同時,為了避免產生過度擬合現象,本文採用了嶺回歸技術,即在代價函數中加入一個包含適當正規化參數的權值懲罰項,從而保證網路輸出函數具有一定的平滑度。According to the characters of the model of the optimization of the vehicle main form design, the muti - objective problem is resolved by power - factor method, the constrains problem by penalty function technique
結合遺傳演算法,採用懲罰函數法對約束條件進行處理,設計了實數編碼的模擬退火懲罰函數法優化程序模塊。In studying continuous production processes, we considered the problem of batch processing scheduling where each processor can process a batch of jobs simultaneously ; the batch is delivered to the customer together upon the completion of the batch
對于連續型生產方式,論文研究了在準時生產( jit )模式下分批加工的優化調度問題,優化調度目標為e / t懲罰函數最小。This paper present the comprehensive objective function considering network energy loss, node voltage level and investment of reactive compensation equipment. penalty function is considered to deal with variables violating the constraints
本文提出了考慮配電網網損效益、節點電壓水平和無功補償費用的綜合目標函數,對于目標函數中的電壓越界點,採用懲罰函數予以解決。On the base of analysing the shortcoming of genetic algotithms, three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function, random dislocation arithmetic crossover, fuzzy parameter adjust policy, which improve genetic algorithms capability of global convergence and convergent speed. at the same time, the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization
在分析實數型遺傳演算法不足的基礎上,本文研究了遺傳演算法的關鍵技術,分別提出了模糊懲罰評價函數、隨機錯位算術雜交運算元、模糊自適應參數控制等改進技術,以提高遺傳演算法的全局收斂性和收斂速度,並應用於求解非線性混合整數規劃問題和復雜高維的函數優化問題。分享友人