population diversity 中文意思是什麼

population diversity 解釋
群體多樣性
  • population : n. 1. 人口；人口總數；全體居民；人口的聚居。2. 物的全體[總數]；【生物學】蟲口；種群（量）；群體；族，組，個數；【統計學】對象總體，全域。3. 【物理學】布居；密度。4. 〈罕用語〉殖民。
  • diversity : n. 1. 不同，異樣，差異。2. 繁多，多種，多樣，駁雜，參差。
  1. Alone the jade is produced in nan yang city du shan county, be well - known throughout alone the jade a lot of but after whose color, that fits therefore alone the jade usually has the china emerald in recent years blockage because of jade ore, forbid exploit, alone beautiful price is more expensive, that best material treasures up but alone good one jade therefore in taking three - colour material of azure to also be alone jade, is that your sagaciousness chooses, therefore alone the jade has the potential collecting with appreciation more. alone white jade : population is often semi - transparent for white, milky white, till the tiny lucency or opacity, the diversity judging by transparency and texture there be permeable white oil, to white, to do three white species appellations, alone the among them take permeable white as the best, white jade accounts for 10 % of du shan county jade for entire about

    獨玉產于南陽獨山，獨玉經其色彩眾多而聞名，所以獨玉素有中華翡翠之稱近年來由於玉礦的封鎖，禁止開采，獨玉的價格更為昂貴，而帶天藍三色的料子更是獨玉中最好的料子所以珍藏一款好的獨玉，是你的明智選擇，所以獨玉更具有收藏和升值的潛力白獨玉：總體為白色，乳白色，常為半透明至微透明或不透明，依據透明度和質地的不同又有透水白、油白、干白三種稱謂，其中以透水白為最佳，白獨玉約占整個獨山玉的10 。
  2. Second, the population genetic structure and genetic diversity of e. mollis were studied by using allozyme eletrophoresis and the electrophoretic data for 6 loci from 3 populations being xiangning, yicheng and pinglu populations in shanxi were got. the level of polymorphism was relatively higher than that of the insect - pollinated outcrossing species ( he = 0. 375 )

    用等位酶電泳法和biosys - 2軟體對山西翅果油樹種群的遺傳結構和遺傳多樣性進行了研究，通過對3個種群的6個等位酶位點的電泳分析，結果表明： 5個位點為多態位點， 1個單態位點。
  3. Meanwhile, hypermutation is used to keep the population ' s diversity and overcome the prematurity

    引入超變異運算元維持種群的多樣性，提高全局尋優能力。
  4. This paper concerns studies on rhizobia in symbiosis with important legume soybean and peanut crops in china, following : 1 ) summarized bio - diversity of rhizobia, including indigeneous population, isolation frequency, strain type, distribution, and strain - host promiscuity and compatibility from large and small samples. 2 ) reviewed symbiont improvement in both sides of rhizobia and hosts, involving selection of effective rhizobial strains, evoluation and utilization of the host germplasm for symbiotic properties, and selection of the both sides for special characters. 3 ) discussed the subject on the rich symbiont germplasm resource in china and on further research being necessary to exploitation and utilization of the benificial germplasm

    針對我國主要豆科作物大豆和花生的研究成果，並結合本身研究工作內容， （ 1 ）總結了與宿主共生的根瘤菌生物學多樣性，包括大、小樣本的土著根瘤菌群體數量、分離頻率、類型與分佈及其菌株宿主共生混交性與親和性； （ 2 ）評述了根瘤菌宿主植物共生體雙邊固氮改良，包括優良菌株的選育、宿主品種資源共生特性的評價與利用及特異性狀的選擇； （ 3 ）討論了我國這一類共生體資源的豐富性以及有必要進一步加大力度研究有益資源的開發和利用的問題。
  5. Abstract : this paper concerns studies on rhizobia in symbiosis with important legume soybean and peanut crops in china, following : 1 ) summarized bio - diversity of rhizobia, including indigeneous population, isolation frequency, strain type, distribution, and strain - host promiscuity and compatibility from large and small samples. 2 ) reviewed symbiont improvement in both sides of rhizobia and hosts, involving selection of effective rhizobial strains, evoluation and utilization of the host germplasm for symbiotic properties, and selection of the both sides for special characters. 3 ) discussed the subject on the rich symbiont germplasm resource in china and on further research being necessary to exploitation and utilization of the benificial germplasm

    文摘:針對我國主要豆科作物大豆和花生的研究成果，並結合本身研究工作內容， （ 1 ）總結了與宿主共生的根瘤菌生物學多樣性，包括大、小樣本的土著根瘤菌群體數量、分離頻率、類型與分佈及其菌株宿主共生混交性與親和性； （ 2 ）評述了根瘤菌宿主植物共生體雙邊固氮改良，包括優良菌株的選育、宿主品種資源共生特性的評價與利用及特異性狀的選擇； （ 3 ）討論了我國這一類共生體資源的豐富性以及有必要進一步加大力度研究有益資源的開發和利用的問題。
  6. If grazing stress reached a threshold, genetic diversity of population emerged a transition point, with genetic diversity increased

    當放牧壓力達到一個閾值時種群的遺傳多樣性有一個躍變點，遺傳多樣性又有增加的趨勢。
  7. The theoretical analysis shows that any human activities, responsible for the changes of rock, air, water, soil and biology inside or outside the caves, will influence inevitably cave animals in terms of such levels as molecule, cell organelle, cell, tissue, organ, system, individual, population, society and ecosystem. these effects can be observed on cave animal ' s shape - building, activity, tissue structure, metabolism, space - time distribution, biothythm, structure of population and society, food chain, bio - relation, diversity of population and society, and function of the above - mentioned levels

    理論分析表明，凡是能夠引起地表和洞穴巖石、空氣、水、土壤、生物等變化的一切人類活動都不可避免地使洞穴動物在分子、細胞器、細胞、組織、器官、系統、個體、種群、群落和生態系統各級層次上產生效應，這些效應具體表現在影響洞穴動物形態建成、行為、組織結構、新陳代謝、時空分佈、生物節律、種群和群落結構、食物鏈結構、生物關系、種群和群落多樣性以及各層次所表現的功能的多少、快慢、強弱等方面。
  8. Soil microbial biomass and viable population size ( plant counts ) were negatively affected by the elevated metal levels, but the size of soil basal respiration rate and microbial metabolic quotients were positively influenced by the increasing heavy metal pollution levels. microbial community structure also changed with increasing contamination, as indicated by biolog data and principal component analysis of biolog community metabolic profiles. soil microbial metabolic profiles ( awcd ) values, community richness and diversity index in mine - soils decreased remarkably as compared

    相關分析結果表明，土壤重金屬含量和土壤基礎呼吸、微生物量cfn 、代謝剖面（ awcd ） 、微生物商（ cmic / corg ） 、代謝商（ qc02 ）與人工栽培的香根草植物地上部分呈顯著或極顯著正相關（卜0 . 6653飛0 . 8945 」 ） ;微生物量c 、微生物量n 、生化作用強度、酶活性、群落shannon指數（ h ）和微生物群落豐富度（ s ）與人工栽培的香根草植物地上部分生物量呈顯著或極顯著地負相關（ r =一。
  9. In this paper, we propose an improved evolutionary algorithm combining diversity maintaining mechanism and accelerating operators, which focuses on the contradiction between the maintenance of population diversity and search efficiency in solving multimodal function global optimization problem on a bounded area

    摘要針對演化演算法求解有界區域上的多峰函數全局優化問題中，保持種群多樣性和搜索效率的矛盾，提出了一種結合了多樣性維持機制和加速運算元的改進演化演算法並對演算法作了收斂性分析。
  10. The theory analysis and experimental results show that the algorithm not only effectively keeps population diversity, but also alleviates the undulate phenomenon in evolutionary latter stages meanwhile increases the convergent speed greatly

    理論分析和模擬結果表明，該演算法不僅能夠有效地保持群體多樣性，而且減輕了遺傳演算法的後期波動現象，同時收斂速度明顯提高。
  11. 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。
  12. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  13. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  14. Based on the analysis of the influence of ga operators on population diversity, this paper studies parameter control of ga and proposes a self - adaptive mutation probability. it can automatically regulate the mutation probabilities according to the population diversity at primitive stage and adopt different mutation probabilities at different stages. the results show that it is better than the fix and adaptive mutation probabilities

    在分析遺傳運算元對種群多樣性影響的基礎上，研究了ga的參數控制問題，提出了一種自適應性變異概率，它可在ga進化初期隨著種群多樣性的變化而自適應調整變異概率，並在ga進化的不同階段採用不同的變異概率。
  15. Marine bacteria play a great role in the occurrence and declination of red - tide based on their population diversity biophysiological and biochemical character diversity, ecological function diversity and heredity diversity thus, bacteria - alga relationship has been a hotspot in red - tide research. for the first time, we studied the effect of marine bacteria, isolated from xiamen west sea area, on the growth and toxicity of alexandrium tamarense under lab condition. the results were as follows : 1

    本實驗選擇赤潮多發區、易發區廈門西海域為本課題研究領域，以發生頻率高、范圍廣、危害嚴重的赤潮原因種塔瑪亞歷山大藻（ alexandrium . tamarense ）為主要研究對象，首次研究了在可控生態條件下幾株分離自廈門西海域海洋細菌對a . tamarense生長和藻毒力的影響，所取得的主要結果如下： 1
  16. The effective ways to overcome such problems are to maintain the population diversity and enhance exploitation of local search domains

    相應的解決策略是：維持種群個體多樣性和增強對局部領域的搜索開采能力。
  17. In order to maintain the population diversity, the algorithm retains the individuals which have better fitness and farther away from the sets of the selected individuals, and uses the parameters of clustering to reduce computation cost

    為了保持種群的多樣性，演算法保留那些具有較好適應值並且與所選的最優個體集合較遠的個體，並利用聚類的參數來減少計算量。
  18. The parameter can be adjusted adaptively by incorporating population entropy into the algorithm to provide a quantitative measure of population diversity of individuals in the population and new individuals can be introduced into the population by a big - mutation operation when the individuals in the population tend to be consistent. the case study shows that the algorithm can alleviate the problem of premature convergence as well as improve the efficiency and scope of searching

    本研究將信息嫡引入遺傳演算法以度量種群的多樣性;當判斷其發生過早收斂時，則通過「大變異」操作來引入新個體，從而有效緩解了成熟前收斂的發生，提高了演算法搜索的范圍與效率。
  19. 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。
  20. 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。
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