penalty function algorithms 中文意思是什麼

penalty function algorithms 解釋
罰函數演算法
  • penalty : n. 1. 刑罰，懲罰。2. 罰款；違約罰金。3. 報應。4. 【牌戲】罰點；【體育】（犯規）處罰。5. （行為等造成的）困難、障礙、不利後果 （＝handicap）。
  • function : n 1 功能，官能，機能，作用。2 〈常 pl 〉職務，職責。3 慶祝儀式；（盛大的）集會，宴會。4 【數學】...
  • algorithms : 演算法式
  1. It is proven that these modified dual algorithms still have the same convergence results as those of the conceptional dual algorithms in chapter 2 and chapter 3. secondly, a dual algorithm is constructed for general constrained nonlinear programming problems and the local convergence theorem is established accordingly. the condition number of modified lagrange function ' s hessian is estimated, which also depends on the penalty parameter

    證明這些修正的對偶演算法仍具有同前兩章的概念性對偶演算法相同的收斂性結果，我們還進一步構造了一般約束非線性規劃問題的對偶演算法，建立了相應的局部收斂理論，最後估計了修正lagrange函數的hesse陣的條件數，它同樣依賴于罰參數。
  2. The numerical simulation equations of the border curves in term of and as well as the matching rules and the frequency dependence of microwave electromagnetic parameters of a broad - band homogeneous absorbing coating with a finite value of reflection loss are available. these results pointed out the direction to develop rams ". according to the radar - absorbing model, the optimized design of rams with thin - layer, light - weight, broadband and strong - absorbing is available by the simple genetic algorithms, which can effectively conduct the research work of rams to the detail. small but completely, the electromagnetic parameter ' s databases of rams that based on actual microwave absorbers have been set up, the object function has been constructed which conform to the involved goals, the adaptive coding measure is taken which extends the coding length dynamically adapting to the condition of the number of actual absorbers or the precision of thickness and absorber - volume - percentage, the decoding technique is initiated which satisfies light - weight and strong - absorbing as well as thin - layer and broadband by adopting of tracing variable restricting conditions dynamically to control total thickness. when decoding, the variable restricting conditions of thickness are dynamically traced, so gain the radar absorbing coatings of light - weight multiple - layer single - ingredient. similary, of thickness and absorber - volume - percentage, of light - weight multiple - layer multiple - ingredient. also, the rams ' demand to radar - absorb performance as frequency is met making use of the penalty function

    作為遺傳演算法的具體實施：根據本實驗室近來研製的吸波材料，建立了吸波材料的相關數據庫；構造了能真實體現「薄、輕、寬、強」優化目標的目標函數；根據材料的實際數量以及塗層厚度精度要求、吸收劑體積分數精度要求，建立了能動態擴展相應碼長的自適應編碼方法；首創了通過動態跟蹤變量的約束條件來控制塗層總厚度的解碼技術，以此實現了在不弱化寬頻、高強的吸波性能目標的同時，兼顧到薄層、輕質的使用性能要求；在解碼時通過動態跟蹤厚度變量的約束條件，實現了多層單組分吸波塗層對重量輕的要求；通過動態跟蹤厚度變量的約束條件和吸收劑體積分數的約束條件，實現了多層多組分吸波塗層對重量輕的要求；使用權重系數變化法，實現了吸波塗層的分頻段吸波性能要求。
  3. It confirms the movement equation of particle and adopts death penalty function to deal with all constraint term, and provides with the step of algorithms to solve 0 / 1 knapsack problem

    確定了該演算法中粒子的運動方程，採用死亡罰函數法處理了約束條件，給出了該演算法求解0 / 1背包問題的實現步驟，並對實驗數據進行了測試。
  4. The paper exploits then method of combining the simulated annealing algorithm with genetic algorithm for the question and designs the coding way which based on ordinal characters, builds up fitness function on the basis of penalty function, adopts the basal technology, such as crossover, mutation etc. to deal with the model and put forward adjustable algorithms for trains occupying time sets

    將模擬退火演算法和演化演算法混合起來運用於該問題，設計有序的字元串編碼方法，構造了基於罰函數的適應度函數，採用交叉和變異等技術，求解該模型。並提出了車列佔用時區調整的相關演算法。
  5. 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。
  6. 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。
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