染色體交叉 的英文怎麼說

中文拼音 [rǎnshǎitǐjiāochā]
染色體交叉 英文
chiasmatypy
  • 染 : Ⅰ動詞1 （用染料著色）dye 2 （感染） catch [contract] （a disease） 3 （沾染） acquire （a bad hab...
  • 色 : 色名詞[口語] （顏色） colour
  • 體 : 體構詞成分。
  • 交 : Ⅰ動詞1 （把事物轉移給有關方面） hand over; give up; deliver 2 （到某一時辰或季節） reach （a cert...
  • 叉 : 叉動詞[方言] （擋住, 卡住） block up; jam
  • 染色體 : [生物學] chromosome染色體疾病 chromosomal disorders; 染色體異常 chromosome abnormality
  • 染色 : dye; dyeing; colouration; tintage; tinging; dyschroia; colouring; colour; [半] decoration染色不足...
  1. Sax found average chiasma frequencies of 2. 3 to 2. 5 per bivalent in pines and larches.

    Sax發現松樹和落葉松每條二價染色體的平均交叉頻率是2.32.5。
  2. Sax found average chiasma frequencies of 2. 3 to 2. 5 per bivalent in pines and larches

    Sax發現松樹和落葉松每條二價染色體的平均交叉頻率是2 . 3 2 . 5 。
  3. Crossing over the exchange of material between homologous chromatids by the formation of chiasmata

    交換：同源染色單體之間形成交叉時遺傳物質的交換現象。
  4. In this paper, a genetic algorithm was presented to solve the problem of the searching of the optimal coalition structure. we designd one - dimension chromosome coding structure and the corresponding improved uniformity crossover operator and the heuristic mutation operator

    我們給出了一種求解最佳聯盟結構的gas演算法，設計出了一種簡單的一維自然數染色體編碼結構和改進的均勻交叉運算元以及啟發式變異運算元。
  5. Crossover is implemented using arithmetic crossover operator. then unsymmetrical mutation is conducted using the new mutation operator which can expand the scope of chromosome gene value, at the same time, the chromosome with the highest fitness values are retained for each iteration. a lot of experiments are implemented to obtain the optimized initial weighs and bias

    生成了三維矩陣表示的染色體，進行了聯賽選擇，利用算術交叉運算元進行了交叉運算，利用構造的新的變異運算元，進行了非均勻變異，同時保留了每次進化運算后最優的適應值，通過大量實驗，實現了遺傳演算法優化bp網路的初始權值和閾值的目的。
  6. In the genetic process of reproduction, crossover and mutation of the chromosomes in this method, these operators pr, pc and pm are produced randomly within some space, the scale of population and all kinds of genetic probability are also adjusted randomly so that the diversity individuals of population is ensured. the ga of dynamic population scale passes more information of paternal chromosomes to the offspring, which is beneficial to search the global optimization or quasi - global optimization

    該方法在染色體進行繁殖、交叉、突變的遺傳過程中，在某一范圍內隨機選取p _ r ， p _ c ， p _ m ，動態調整種群規模，保證了種群個體的多樣性；選擇同父本分別進行三種遺傳過程使得父本染色體中有更多的信息傳遞給子代，這有利於搜索全域最優解或準最優解。
  7. The author expatiated on the basic structure, coding manners, decoding rules, fitness function selection, self - adapted mutation and crossover operator, the judging flow of chromosome feasibility of the algorithm, finally, put forward the computing result with pattern of data table and gantt graph

    詳細地闡述了演算法的基本結構、編碼方式、解碼規則、適值函數的選取、自適應變異和交叉運算元的設計、染色體可行性的判斷流程，最後以數據表和甘特圖的方式給出了計算結果。
  8. This model is simple and easy to be implemented. the refined genetic algorithm is also set up, in which some improvements are made on chromosome coding, fitness fuction, stopping rule, crossover and mutation pattern

    對遺傳演算法的染色體編碼、群體規模的確定、收斂準則、交叉、變異等環節進行了改進，提高了演算法的全局尋優概率和收斂速度。
  9. Terminalization the movement of chiasmata to the end of the bivalent arms, a process that may occur during late prophase i of meiosis

    交叉）移端：發生在第一次減數分裂後期，染色體交叉向二價體染色體臂的末端移動的過程。
  10. In consideration of the defects of conventional ga, an improved ga has been investigated in this paper. the evolution speed and quality of the population are directly influenced by the change of the number of chromosomes in ga and by whether the paternal excellent information is passed to the offspring as much as it can. in regard to the questions existing in ga, an algorithm with dynamic population scale is provided in this paper

    在對模擬電荷配置的程序化實現方面，本文採用智能優化方法? ?遺傳演算法（ ga ） ，不過本文針對傳統ga - csm中遺傳演算法的定種群規模遺傳使得父本染色體的多樣性受到限制及同代非同父本進行繁殖、交叉、突變的遺傳方法可能收斂于局部極小值而得不到全局最優解的問題，對其加以改進，提出了一種新方法? ?變種群規模的遺傳演算法。
  11. The improvements in this thesis include the hybrid code method, the method of generation of initial populations, substituting the children for parents by combination of the simulated annealing algorithm and niche, adding some new chromosomes to ensure the population ’ s diversity and using the adaptive probability of crossover and mutation

    本文的改進方案主要涉及混合編碼方式，初始種群的產生方式，採用結合模擬退火演算法和小生境思想的替代策略，迭代過程中添加新染色體，採用自適應交叉、變異概率等。
  12. Genetic algorithm is adopted to solve this problem. the method using several chromosomes express a scheme is presented. crossover rate and mutation rate are automatically adjusted by fuzzy control to quicken search procedure and avoid immature convergence

    本文引入了遺傳演算法來解決這一問題，提出了採用多條染色體表示一組方案的方法，並對遺傳操作過程中的交叉率和變異率進行了模糊控制，有效的加快了搜索速度，避免了不成熟收斂。
  13. The experiment results indicate that, if the chromosomes on then slide isolation each other, and there are no overlapping chromosomes, the above methods are quite effective

    通過大量實驗和最後的初步分類表明：在染色體分散良好，無交叉的染色體的情況下，這些方法是非常有效的。
  14. Abstract : a problem resolution can be represented by a series of chromosomes in genetic algorithm ( ga ). in the evolving process of reproduction, crossoves and mutation to chromosomes, a chromosome which is fitter to the enviroment can be obtained as the resolution of the problem. the membership functions and control rules are optimized by using ga, the design and adjustment of fuzzy controller are also improved

    文摘:遺傳演算法是將問題的求解用染色體的形式表示，在其復制、交叉、變異的進化過程中收斂為一個最適應環境的染色體，即為問題的解.用遺傳演算法對模糊控制中的隸屬度函數進行編碼，確定適應度函數，作遺傳運算與微量調整，可實現對隸屬度函數及控制規則的優化，改善模糊控制器的性能
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