genetic experimental design 中文意思是什麼

genetic experimental design 解釋
遺傳實驗設計
  • genetic : adj. 1. 遺傳（學）上的。2. 發生的，發展的；創始的。adv. -ically
  • experimental : adj 實驗（上）的；試驗性的；經驗上的。 experimental parthenogenesis 人工單性生殖，人工孤雌生殖。 ...
  • design : vt 1 計劃，企圖，立意要…。2 指定，預定；留給，留著。3 設計，草擬，擬定，籌劃；起草，畫草圖，打（...
  1. A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method

    提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高
  2. Firstly, samples are determined by experimental design methods and size optimization of the structures corresponding to the samples is executed with nastran. secondly, an approximation model ( surrogate model ) based on the samples is derived using kriging method. thirdly, the optimal locations of structural elements are found by genetic algorithms ( ga ) because genetic algorithms can find global optimal solutions of surrogate model easily

    基本思路是利用試驗設計法選取樣本點，並對樣本點對應的結構進行尺寸優化，然後根據樣本點和優化結果建立代理模型，再利用遺傳演算法求出設計變量最優解，進而得到結構最優解。
  3. Orthogonal experimental design method was compared with genetic algorithm for hunting out optimum values, and an optimum method of orthogonal - genetic algorithm testing method that was applicable in greater design variables and unmanageable fit function was presented, and was applied to optimal design of the mechanism and to obtain the optimum scheme of the mechanism ' s geometrical dimensions

    對正交試驗設計法和遺傳演算法的尋優演算法進行分析比較，提出一種設計變量多且適應度函數難求的正交遺傳試驗法的優化方法，將這種方法應用於機構的優化設計中，獲得優化工作空間性能的結構參數方案。
  4. Secondly, with combination of a certain type of radar, the application of genetic algorithm to optimum code selection and the iteratively reweighted least - square mismatched filter design for sidelobe reduction are discussed. the favorable experimental results are obtained, especially for 64 phase code

    最後，我們結合某型雷達，以64相碼信號為例，說明了遺傳優化演算法在編碼搜索中的優越性，並採用了迭代加權最小二乘演算法來設計失配濾波器以達到相位編碼信號的優化副瓣抑制目的，且給出了相應的模擬結果。
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