遺傳資源網 的英文怎麼說

中文拼音 [yízhuànzīyuánwǎng]
遺傳資源網 英文
bidnet
  • 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）...
  • 資 : Ⅰ名詞1 （錢財; 費用） money; wealth; expenses 2 （資質） intelligence; endowment 3 （資格） quali...
  • 源 : 名詞1. （水流起頭的地方） source （of a river）; fountainhead 2. （來源） source; cause 3. （姓氏） a surname
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
  • 資源 : natural resources; resource
  1. Considering of the differences of task scheduling between a grid and a distributed system, this dissertation designs a real number encoded mode that mapping every task to a random resource directly by improving the encoding mode of the traditional genetic algorithm, and gives a particular design to the encoding and decoding mode. at last, this algorithm is simulated in the grid simulator. the experiment results show that the reformative genetic algorithm not only has a holistic searching ability, but also makes a fast convergent speed, which provides a preferable performance

    本文根據網格計算任務調度的特點，提出了基於改進的遺傳演算法的網格任務調度，通過對傳統遺傳演算法的編碼方式進行改進，針對網格任務調度與一般分散式系統任務調度的不同之處，設計了資源?任務的一一對應的實數編碼方法，詳細設計了其編碼及解碼方式，最後在網格模擬器中進行了模擬，實驗數據證明了改進后的遺傳演算法即具有全局搜索能力，又具有較快的收斂速度，具有較好的性能，該實驗達到了本文以實現任務調度的最優跨度為目標的實驗目的。
  2. We use different genetic teaching methods to promote student ' s practice of making experiments and utilization of internet resources ; stimulate and direct student ' s desire of exploring the knowledge properly ; impel students to think and analyse deligently ; enhance their ability of thinking, utilizing and operating ; foster student ' s ability to grasp information and self - study ability ; increase student ' s comprehensive ability through all directions to meet the needs of the quick development of life science in 21st century

    摘要通過在遺傳學教學中採用不同的教學方式、加強實驗操作和運用網路資源的實踐，合理引導並激發學生對知識探索的慾望，促使學生勤於思考與分析，提高思維能力、運用能力和動手能力，培養學生具有信息能力和自主學習能力，全方位多角度地提高學生的綜合素質，以適應21世紀生命科學迅速發展的需要。
  3. Based on the model, combined with object weight, a genetic algorithm for manufacturing grid resources scheduling process was designed

    基於多目標優化數學模型，結合用戶對目標權重的要求，設計了塞于遺傳演算法的製造網格資源調度過程。
  4. Secondly, inner mongolia autonomous region should propagandize the character of ourselves which consists of charming natural scene, ancient site and nationality ' s character

    其次要整合營銷網路，突出自治區豐富自然旅遊資源、深邃的古文化遺存和多姿的民族風情為特色的宣傳。
  5. Thirdly, we study how to use the genetic algorithm solve the multi - objective optimization singlecast qos routing algorithm. the simulation result shows that the method can find singlecast route quickly and effectively. it also shows that the model can provide different service to different rank network data, balance the network load and reduce the network congestion effectively

    第三，研究了如何利用遺傳演算法來求解多目標最優化單播qos路由，模擬實驗驗證了演算法能夠快速有效地找到路徑，並能為不同等級的數據提供不同質量的傳輸服務，有效地提高了網路資源利用率，平衡了網路負載，減少了網路擁塞。
  6. Using the practical bridge as study object, the paper executed optimization programs and output the results with microsoft project 2000. through comparing and analyzing the resources demand quantity of before and behind optimization, the effect is good. it proofs the application feasibility of ga theory which used in the resources optimization of bridge construction

    以實際橋梁作為研究對象，利用程序進行優化計算，用microsoftproject2000輸出優化計算結果，比較分析了優化前後網路計劃的資源需求量，取得了良好的效果，從而驗證了遺傳演算法在資源優化中應用的可行性。
  7. The article emphasizes some new methods in the fields of project item planning management. they are as followed : the technique method of indefinite network planning and optimizing, the forecasting and optimality method of indefinite item and nonlinear time limit for a project and cost, the fuzzy cluster analysis hereditary algorithm of network resource equilibrium planning, the vann forecast method of indefinite project item cost

    本文著重研究了工程項目計劃管理領域的非確定性網路計劃優化技術方法、非確定性項目非線性工期?總成本預測與優化決策方法、網路資源均衡計劃的模糊聚類分析遺傳演算法、非確定性工程項目造價的變結構神經網路預測方法，並進行了多個實證研究。
  8. This article chooses the already - improved and merit - prominent genetic algorithm as the production algorithm of the propagation path for the resources request message. in the structureless p2p network model, this article has completed the simulation realization for the improved genetic algorithms in matlab and has produced a group of paths for propagating resources request message

    本文選擇了優點突出的改進的遺傳演算法作為資源請求消息傳播路徑的生成演算法，並針對一個無結構對等網模型，在matlab中對改進的遺傳演算法進行了模擬實現，生成了一組用於資源請求消息傳播的路徑。
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