群體遺傳基礎 的英文怎麼說

中文拼音 [qúntǐyízhuànjīchǔ]
群體遺傳基礎 英文
population genetic basis
  • 群 : Ⅰ名詞（聚在一起的人或物） crowd; group Ⅱ量詞（用於成群的人或物） group; herd; flock
  • 體 : 體構詞成分。
  • 遺 : 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 : 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）...
  • 礎 : 名詞（墊在房屋柱子底下的石頭） plinth
  • 群體 : 1. [生物學] population; colony2. [社會學] group
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  1. On the basis of former work, author presents a fga based on the diversity measure. in order to keep the dynamic balance between eer, t ' uz / y logic controller ( flc ) was used to adjust ga ' s important parameters dynamicly

    本文在前人研究的基礎上，基於群體多樣性測度設計了一個模糊遺傳演算法，利用模糊邏輯控制器來動態調整遺傳演算法中的重要參數，保持遺傳演算法eer的動態平衡。
  2. In this paper, with the helps of the ordinary ecological site - study techniques, electrophoresis and the multivariate analyses, from both the levels of morphological and allozymic variation, we studied the differentiation patterns of 29 morphological characters and 6 allozymes of 97 individuals from 7 populations of euonymus chloranthoides yang, an endangered plant species which is endemic to mt. jinyun of chongqing. we also studied the relationship between such differentiation and its environment factors

    本文以處于瀕危狀態的縉雲衛矛為研究對象，在測定了各種群的生存環境因子基礎上，從形態和等位酶兩個層次採用多種數量分析方法對縉雲衛矛7個種群97個個體的29項形態指標及6種等位酶反映出的生態遺傳分化及其與環境的關系進行了研究。
  3. But the population genetic that based on the statistic model ca n ' t explain the entropy change disciplinarian in the process of evolution, and the genetic diversity index system not enough prefect

    但目前建立在統計學基礎上的群體遺傳學尚未闡述清楚進化過程群體的熵變規律，而且遺傳多態性分析的指標體系不夠完善，因而必須用信息論方法科學描述和豐富遺傳多樣性的指標體系。
  4. Walter s. sutton proposed that chromosomes were the site of mendel ' s hereditary factors. the hardy - weinberg law established the mathematical basis for studying heredity in populations

    薩頓提出染色體就是孟德爾的遺傳因子所在地。哈代魏因貝格二氏定律建立了研究種群遺傳的數學基礎。
  5. This study dealt with the identification and evaluation of 8 maize populations from tropical and subtropical regions under the ecological conditions in zhengzhou, henan. results showed that the significant delaying days to shed and days to silk, discoordinating for the development of male and female, higher plant and ear height, more leaf numbers, high barreness, worse performance of ear traits compared with the ck ( temperate population ) were found, which showed the tropical and subtropical populations could not be utilized directly under the ecological conditions in zhengzhou. by using selection and improvement the tropical and subtropical populations can be used to broaden the genetic base of temperate maize breeding, beause of the greater genetic variation and higher selection potential within each population. the different performances of the sensitivity to photoperiod were observed among different tropical and subtropical populations and different traits. the asi, time to silk, ear height, leaf numbers, grain yield per ear could be used as the good evaluation traits for identifying the sensitivity to photoperiod

    對8個熱帶、亞熱帶玉米群體在鄭州生態條件下的表現進行鑒定和評價，結果表明，熱帶、亞熱帶群體散粉、吐絲期顯著延遲，雌雄不協調，植株和穗位高、葉片數增多、空稈率高，結實性差，果穗性狀均明顯劣於溫帶對照，在鄭州生態條件下不能直接利用，但是群體內具有較大的遺傳變異和選擇潛力，可以用來拓寬現有玉米種質的遺傳基礎；不同熱帶、亞熱帶群體的光周期敏感性不同；不同性狀對光周期反應的敏感程度不同， asi 、吐絲期、穗位高、葉片數、穗粒重可作為鑒定光周期敏感性的較好指標
  6. In brief, our courses will explore life phenomena at various angles including ( 1 ) global interactions of different biological communities ; ( 2 ) whole organism structures, development, physiology and functions ; ( 3 ) individual cell, cellular components and functions, and the signal transduction therein ; and ( 4 ) biochemical, genetic, and molecular basis of life

    簡而言之，本系的學科嘗試從不同的角度去了解生命現象，包括（ 1 ）生物社群間的宏觀相互作用; （ 2 ）生物個體結構、發育、生理及功能； （ 3 ）個別細胞，細胞成份與其功能，以及其間的訊號傳導; （ 4 ）生命的生化、遺傳和分子基礎。
  7. Mint total dna was transferred into a. thaliana mediated by ion beam with the influence of 0. 5 10 1. 5 1017 and 2. 5 1017 ions / cm2, respectively, which were on the bridge of saddle. among three transferred populations, their budding, seedling, growth and phenotypic variation took on obvious difference. combining these facts, the influence of 1. 5 1017ions / cm2 was decided as transformation influence of the following work

    我們從另外一個角度出發，在離子注入劑量-擬南芥菜存活曲線的基礎上，選擇不同的離子劑量介導薄荷全dna轉化擬南芥菜，根據各個轉化群體在遺傳和生理上的不同變化，選擇1 . 5 10 ~ （ 17 ） ions cm ~ 2作為我們以後轉化工作的轉化劑量。
  8. Based on the global stochastic searching method of classic genetic algorithm ( ga ), and using the diversity preservation strategy of antibodies in biology immunity mechanism, the method greatly improves the colony diversity of ga and has better global searching capability

    該演算法在傳統遺傳演算法全局隨機搜索的基礎上，借鑒了生物免疫機制中抗體的多樣性保持策略，改善了遺傳演算法的群體多樣性，具有更好的全局搜索能力。
  9. After a short - term load forecasting method based analogous and linear extrapolation is proposed, the load forecast and the priority of equipment action are led into static reactive power optimization. the aim function is constructed for the practical situation of power system. on the basis of traditional genetic algorithm the fitness function and the holding of population diversity are improved

    在提出基於相似日和線性外推的短期負荷預測新方法的基礎上，將負荷預測和設備動作優先級引入靜態無功優化中，並結合電網實際情況，構造了實用的目標函數，對遺傳演算法的適應度函數和群體多樣性的保持進行了改進，採用鄰域搜索運算元增加遺傳演算法的局部尋優能力。
  10. In the second charper, two reformed metheds has presented, which are competition adaptation - ga based on elitist and dual mutation adaptive - ga which can increase the population diversity and can decrease the dependence of genetic algorithms " result to the control parameter of operators and the status of initial population. to testify their abilities of algorithms, some studies have excuted which included the study to optimize parameter for pid and the study to multivariable intelligent decoupling control for mimo system. the outcomes have showed us that this amendment has a better effective than conventional means and the genetic algorithms which have no change

    第二章中，在已有文獻的基礎上，創新性的提出兩種改進演算法：基於最優保留的聯賽競爭機制遺傳演算法（ competitionadaptation - gabasedonelitist ）和雙變異自適應遺傳演算法（ dualmutationadaptive - ga ） ；通過對演算法中選擇運算元和變異運算元的有效改進，提高了演算法的尋優能力和尋優效率，增加了群體中個體模式的多樣性，對于演算法中存在的欺騙問題、早熟問題以及成熟前收斂問題有明顯的改進作用。
  11. This dissertation proposes a new and effective optimization - - immune genetic algorithm ( iga ) on the analysis of the drawbacks of traditional ga ' s and developing the useful and discarding the useless of existing immune theories. this dissertation aims to make the designed algorithm resolve the contradiction of local search capability and global search capability effectively and keep the population diversity during the evolving progress so as to remedy the demerits of traditional ga ' s

    本文在分析了傳統遺傳演算法的缺陷機理和揚棄了已有免疫理論的基礎上，提出了一種新型有效的優化演算法? ?免疫遺傳演算法（ immunegeneticalgorithm ， iga ） ，旨在通過對生物體實際免疫行為的模擬，使設計的優化演算法能夠有效解決全局搜索能力和局部搜索能力的矛盾、維持演化過程中種群的多樣性，從而彌補傳統遺傳演算法的缺陷。
  12. Based on above theoretical bases, in this paper an optimal control model of master / slave parallel genetic algorithm to solve dta problem is proposed. based on the drawing cluster with distributed storage and message passing system, this algorithm is implemented in the master / slave mode of the pvm parallel platform

    在上述理論基礎上，實現了最優控制動態交通分配的主從式并行遺傳演算法，並在基於分散式存儲和消息傳遞體系結構的曙光機群系統下，應用并行編程環境pvm下master slave模式完成了上述演算法。
  13. However, d. versipellis also processes vegetative reproduction by rhizome and root. based on optimization of reaction conditions and systems, rapd - pcr was performed to detect the genetic diversity and popolation - genetic structure of the five d. versipellis populations and are d. pleiantha population

    在反應體系和反應條件優化的基礎上，利用rapd標記對八角蓮5個種群和六角蓮1個種群進行了遺傳多樣性、種群遺傳結構評價和取樣策略研究。
  14. Similarity coefficient and genetic distances between two arbitrary individuals were caculated according to the data of experiments, the pedigree was constructed by two means ( they were upgma and parsimony ), and genetic diversity was discussedbased on selecting the best conditions of pcr with opg and opa primers from operon company, we obtained 163 bands using 24 random primers. in other words, 163 sites in crested ibis " genome were detected. the bands from 23 primers showed polymorphism. minimurn of polymorphic ratio was 0, maximum was 85. 71 %, and average was 48. 99 %. in the population which was composed by 37 individuals, most of genetic distances between two arbitrary individuals were less than 0. 1. the results showed that the degree of similarity among crested ibises was high while genetic diversity in the population was low accordingly

    我們在對operon公司opg系列和opa系列引物進行優化篩選的基礎上，用24條隨機引物共擴增出163條譜帶，即檢測了朱?基因組中的163個位點，其中23條引物的擴增結果具有多態性；譜帶的多態比率最小為0 ，最大為85 . 71 ，平均為48 . 99 ；在由37隻朱?組成的種群中，任意兩個個體之間的遺傳距離絕大多數在0 . 1以下。這些結果表明，目前朱?個體間的相似程度很高，種群的遺傳多樣性水平較低。
  15. Finally, genetic optimization research is summarized on several typical production scheduling problems. after expounding the general idea of genetic algorithm, the comparative advantages in contrast to the traditional algorithm, the basic characteristics of genetic algorithm and its theoretical base, the paper puts emphasis on the efficiency of genetic algorithm in the scheduling of flow shop, and puts forward an improving genetic algorithm : the ordinal genetic algorithm based on the heuristic rules. the new algorithm introduces into the initial group the solution of heuristic algorithm, and in the group structure adopts a strategy of first ordering according to the priority of the adaptive solution, and then defining a new way of choosing probability by segments, which provides more hybridizing opportunity for optimized individuals, and designs variation - control rule to prevent single population and partial optimal solution

    在論述了遺傳演算法的思想、與傳統搜索演算法的比較優勢、遺傳演算法的基本特徵和遺傳演算法的理論基礎（包括模式定理、隱含并行性、基因塊假設、欺騙問題和收斂性定理）后，重點探討了遺傳演算法在flowshop調度問題中的潛力和有效性；結合啟發式規則，提出了一個改進的遺傳演算法?基於啟發式規則的有序遺傳演算法，新演算法在初始種群中引入了啟發式演算法的解，在種群結構上採用了先按適應值優劣排序再分段確定選擇概率的新策略，使優質個體有更多的雜交機會，在變異中設計了變異控制規則，以防種群單一化，而陷入局部優化解。
  16. So that combine the genetic algorithms and neural network to complete the production of the system model of high - speed bidding. based on the reasonable model - building, use software " matlab " to get the achievement at the beginning. and take a lot of figures from project experiment as the sample to practice on the net, at the same time lots of experiments have been done to test them

    然後將經過0 - 1數字化處理的訓練集樣本送入網路，利用bp演算法訓練網路得出m組權值；之後採用實數編碼，將神經網路的權重作為ga的染色體，生成基因群體，再使用遺傳演算法尋優，使解碼得到的參數組合充分接近最佳參數組合，在此基礎上再用bp演算法對它們進行細調，從而來實現遺傳演算法和神經網路的結合，完成對投標快速報價系統的建模。
  17. In this paper, an improved genetic algorithm ( ga ) was applied to the design of high performance e - plane waveguide filters at the first time. for dealing with the shortcoming of ga as low efficiency in local optimum searching, the idea based on parallel genetic algorithm ( pga ) known as separate local optimization was presented. by separating the whole population into sub - populations, and adding a new operator known as crossover between two sub - population, the new method can provide as 2 3 times quickly as traditional ga. all numerical examinations illustrated the high convergence speed and good global searching of the new algorithm, and proved the validity of it

    由於遺傳演算法表現出良好的全局搜索性能，因此本文將其應用於高性能e面波導濾波器的設計中.針對傳統遺傳演算法所存在的局部搜索能力差的缺點，本文在并行遺傳演算法的基礎上，通過將原有群體劃分為多個子群體，利用多個子群進行局部極值點的搜索，並利用群間遷徙，使改進后的演算法收斂速度平均提高了2 3倍.數值實驗表明演算法具有較快的收斂速度和較好的全局搜索性能，證明了演算法的有效性
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