簡單遺傳 的英文怎麼說

中文拼音 [jiǎndānzhuàn]
簡單遺傳 英文
simple inheritance
  • : Ⅰ形容詞(簡單) simple; simplified; brief Ⅱ動詞1 (使簡單; 簡化) simplify 2 [書面語] (選擇人才...
  • : 遺動詞[書面語] (贈與) offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • : 傳名詞1 (解釋經文的著作) commentaries on classics 2 (傳記) biography 3 (敘述歷史故事的作品)...
  • 簡單 : 1 (不復雜) simple; uncomplicated; plain; simplicity 2 (平凡 多用否定式) commonplace; ordinary...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. These chromosomes are so simple that some geneticists prefer to call them chromonemes.

    這些染色體結構,許多學家喜歡稱它們為染色絲。
  2. A dictionary may define genetics as simply "the science of the study of heredity".

    詞典上會把地定為「研究的科學。」
  3. We improved the theorem of inverse limits of hereditarily - normal spaces, and gave a simple proof of this result

    摘要討論了-正規空間的逆極限性質,改進了文[ 7 ]中關于-正規性逆極限保持定理,並給出一個證明。
  4. The genetic basis of inbreeding depression cannot be explained by means of simple model.

    近交衰退的基礎,不能以的模式來說明。
  5. Simple genetic algorithm gets local minimization too easily and converges slowly. to solve these problems, adaptive crossover rate that has reverse hyperbolic rel ation with the numbers of iteration is designed, and adaptive mutation rate that has reverse proportion to the distances of parents and reverse exponential relat ion to the numbers of iteration is put forward. the practical simulation results show that the adaptive ga has greater convergence speed and larger probability o f getting the best solution

    簡單遺傳演算法存在著收斂速度慢、易陷入局部極小等缺陷.針對這些缺陷,本文設計出隨相對代數呈雙曲線下降的自適應交換率,並提出與父串間的相對歐氏距離成反比、隨相對代數指數下降的自適應變異率.實例驗證表明,具有自適應交換率和變異率的演算法在收斂速度和獲得全局最優解的概率兩個方面都有很大的提高
  6. Using the literature materials and experience before, this paper makes a thorough study on optimal design of water supply networks. an algorithm of decomposing and coordination of system engineering which divides the optimization of the whole networks into three parts, i. e. optimization of water resource flow, and pipe - diameter and standardization of pipe - diameter is proposed. the three parts can be resolved by generalized contracted grads method, hybrid genetic algorithm which is the combination of genetic algorithm and grg method separately

    本文根據以往的文獻資料及相關工程經驗,針對給水管網優化設計這一課題做了深入的研究,提出利用分層分解協調演算法將管網優化設計問題分解成流量優化、管徑優化及管徑取整三個子課題的思想,並分別採用廣義約梯度法、演算法與廣義約梯度法相結合的混合演算法及簡單遺傳演算法來求解三個課題。
  7. Based on the genetic algorithm ' s global searching capability with probability regulation and euclid ' s space distance metric to settle multi - objective, the algorithm that integrates multi - objective ' s decision - making into the modified genetic algorithm to solute the optimal model with discrete variables and multi - objective is proposed. during the algorithm ' s design, the euclid ' s space distance metric is proposed to transform the multi - objective problem into single objective problem. and some modified measure to fitness function and crossover probability and mutation probability are used to improve the performance of the algorithm and avoid premature convergence

    演算法設計過程中,利用歐幾里德空間距離準則和罰函數法,將含有約束條件的多目標規劃問題轉化為無約束的目標優化問題;針對簡單遺傳演算法出現的早熟,構造隨進化代數動態調整適應度的適應度函數和隨個體適應度自適應調整的交叉、變異概率;提出比例選擇與精英保留策略相結合的選擇、兩點交叉和變異的改進演算法。
  8. The experiments show ngaaps has prominently better convergent performance than simple genetic algorithm

    實驗數據表明,該演算法具有比簡單遺傳演算法好的收斂性能。
  9. In the searching computation the new offspring is obtained according to the whole information of its parents

    針對簡單遺傳演算法容易陷入局部最優值的缺陷,借鑒和聲演算法產生新解的方式來產生演算法中的子代個體。
  10. About genetic algorithms, its basic principle, operation, schema theorem, and the realization in the computer are discussed firstly

    對于演算法( ga ) ,本文討論了它的基本原理、操作步驟、模式理論及ga的計算機實現問題,以及簡單遺傳演算法的幾種改進措施。
  11. Because simple genetic algorithm is good at the global search and short of the local search, searching the best optimized solution need to consume more time

    由於簡單遺傳演算法僅擅長全局搜索,而局部搜索能力不足,要達到真正的最優解則要花費相當長的時間。
  12. According to the results of the experiments on simulated data, prga gives better results in curve fitting compared with simple ga and traditional numerical iterative method

    實驗證明,該方法對于曲線擬合問題能取得優于簡單遺傳演算法和統數值迭代方法的結果。
  13. Sga has defects of slow convergence and being prone to immature convergence. in order to eliminate the defects, an improved ga is proposed in this thesis

    簡單遺傳演算法( sga )存在著收斂速度慢、易「早熟」等缺陷,針對這些缺陷,本文設計出改進演算法( iga ) 。
  14. The co - evolution model and algorithm of the collaborated optimization design for the scheme design and detail design is constructed based on the simple genetic algorithm

    本文以簡單遺傳演算法為基礎,建立了實現基坑支護方案與細部協同優化設計的協同演化模型與演算法。
  15. In the first part of this thesis, to cope with the low searching efficiency and premature of simple genetic algorithm ( sga ), a kind of improved genetic algorithm ( iga ) is presented

    本文首先針對簡單遺傳演算法( sga )中存在的收斂速度慢、易陷入局部極小點(即早熟)等缺點,對其進行了改進。
  16. New genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點,提出了一種新的種群數自適應演算法。
  17. A new genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點,提出了一種新的種群數自適應演算法。
  18. Simulation results showed that cppga improved the convergence velocity and search probability of optimization solution, and got good optimization strategy for fire distribution

    模擬結果表明,混沌偽并行演算法比偽并行演算法和簡單遺傳演算法具有更快的收斂速度和更高的最優解搜索成功率,可對火力分配進行優化。
  19. The taboo - search algorithm and the ordinary genetic algorithm are combined in this paper and the new algorithm is named taboo - genetic algorithm. the new algorithm is applied into the matching search of domain and range in fractal image coding. the result shows that the coding time is decreased greatly when the compression ration and the peak signal and noise ration do not decline

    后來把禁忌搜索演算法與簡單遺傳演算法相結合,提出了一種新的禁忌搜索演算法,並應用於分形圖像壓縮編碼的定義域、值域匹配搜索,從而在不降低峰值信噪比和壓縮比的情況下極大地改善了分形圖像壓縮編碼的速度。
  20. Aimed at the simplicity of optimization model of automobile suspended frame, and subjective selection problem and early - maturing problem of probabilistic parameters in genetic algorithm, the flexible multi - body model of automobile suspended frame was established, and an improvement was carried out on genetic algorithm

    摘要針對汽車懸架優化模型演算法概率參數主觀選取問題、早熟問題,建立了汽車懸架柔性多體模型,並且對演算法進行了改進。
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