適應值 的英文怎麼說

中文拼音 [shìyīngzhí]
適應值 英文
adaptive significance
  • 適 : 形容詞1 （適合） fit; suitable; proper 2 （恰好） right; opportune 3 （舒服） comfortable; well Ⅱ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 適應 : suit; adapt; get with it; fit
  1. This dissertation uses genetic algorithm to choose optimum parameters for the widely used pid controllers. in the optimization calculation process, mutation rate, cross rate and parameter range are adaptively changed to accelerate optimization process

    本文用遺傳演算法優化工程中廣泛使用的pid控制器的參數，採用變參數區間、變交叉變異概率等方法提高計算速度，並對適應值函數進行了改進。
  2. Because traditional epistasis measure methods can only reflect the extent of interaction between all genes in the chromosome, we used correlation length analysis and epistasis measures on the fitness landscapes of schemata to test the extent of interdependence between some certain gene loci in study

    針對傳統的測試基因關聯的方法只能給出染色體中所有基因位的整體關聯程度的情況，通過在模式適應值曲面上分別進行相關長度測試和基因關聯測試，以研究染色體中一些特定位之間的基因關聯程度。
  3. In addition, the concept, " fitness landscapes ", which came from biology, has been applied to gas, and became an important tool to describe the characteristics of the fitness space and to analyze the performance of gas

    另外，起源於生物學中的概念「適應值曲面」已成功地應用到了遺傳演算法中，成為描述適應值空間特徵和分析遺傳演算法性能的重要工具。
  4. 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。
  5. Crowding model is used to form multiple niches in fitness landscape, while clustering algorithm eliminates genetic drift in each inner niche

    擁擠模型在適應值曲面上形成多個小生境，聚類演算法消除了每個小生境內部的基因漂移現象。
  6. This paper emploied gp ( genetic program ) to identify and built the model of right - side function of parabolic equations and adopt regularization method to solute its intrinsic ill - posed problem

    摘要用遺傳程序設計反演二維拋物型方程右端函數模型並在求解右端函數的適應值評價中我們採用正則化來解決反演中的不適定問題。
  7. Fitness landscape analysis for capactitated p - median problem

    中位問題的適應值曲面分析
  8. Lastly, the dynamic fitness landscape was analyzed in brief

    對動態適應值曲面進行了初步分析。
  9. 2. we investigated the principles of the fitness landscape and its application to gas in detail

    2 .闡述了遺傳演算法適應值曲面的概念，及其在遺傳演算法研究中所起的作用。
  10. Thirdly, we proposed the concept of the fitness landscape of schemata, and implemented statistical analysis for fitness landscapes of schemata

    提出了模式適應值曲面的概念，並對模式適應值曲面進行了統計分析。
  11. The one - dimensional binary code is used to encode the algorithm because it is suitable to express genetic operators

    為了加快演算法的收斂，在適應值函數中引入了懲罰函數，可以保證所求約簡既含較少屬性又有較強支持度。
  12. Next, we proposed the method of fitness sequence statistics analysis, to directly explore characteristics of fitness landscapes, and to further measure the extent of ga - hardness

    提出了一種排序統計分析方法，可以直接測試適應值曲面的特徵，從而進一步反映遺傳演算法對該問題優化的困難程度。
  13. Then saving algorithm is to find the best route of vehicle for each customer cluster, and the routing results are fed back to clustering problem as the fitness of evolution

    第二階段針對每一顧客群，用節約法找出車輛最佳的巡迴路線，再將第二階段獲得的巡迴結果反饋到第一階段，作為分群遺傳演算法的適應值。
  14. Firstly, from the viewpoint of graph theory, we analyzed fitness landscapes, and described the random walk correlation function, then we deduced the equation to compute the correlation length

    從圖論的角度對遺傳演算法適應值曲面進行了分析，描述了適應值曲面上的隨機遊走相關函數，詳細推導了相關長度計算公式。
  15. The fourth chapter presents a concept of infinite population according to the features of ccga, and designs some particular methods for adversarial problems solving based on this concept. these methods include shared fitness, gene linkage, self - adapted mutation, phantom parasite, elitist population, shared sampling and brood selection. then we give the explanation and argumentation of these methods in theory and in experiment

    第四章根據ccga的特點，提出了無限群體的概念，並在此概念的基礎上就對抗性問題設計了幾種獨特的方法，這些方法包括：共享適應值、基因連鎖、摘要自適應變異、虛幻寄生體、精英群體、共享采樣和同胞選擇等，然後從理論和實驗上對這些方法給予的充分說明和論證。
  16. We develop a adaptive evolutionary algorithm based on neighborhood searching. firstly, class the individuals by the fitness number to realize the division of population. secondly, mutate each individual, that is mutating a good individual in a small range and a bad individual a large range

    本文設計了一種基於鄰域搜索的自適應演化演算法：首先將種群中的個體按適應值分級，實現對種群中的優勢個體與劣勢個體的分割。
  17. We proposed an improved simulated annealing algorithm with neighbor function based on self - optimization of scale parameter. furthermore incorporating disaster - modification and the improved annealing into genetic algorithm, an improved genetic - annealing algorithm is proposed. in order to solve the deceptive minimum problem, an improved evolutionary strategy combined with similarity detection and improved mutation operator

    提出了鄰域尺度函數自尋優的模擬褪火演算法，結合遺傳演算法，引入災變運算元，提出了改進遺傳模擬褪火演算法；為了解決尋優過程中的最小欺騙問題，我們提出了相似性檢測，結合改進的適應值無關變異運算元，提出了基於相似性檢測和適應值無關變異運算元的進化策略演算法。
  18. 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。
  19. Secondly, we performed the time series analysis for the random walk model on the fitness landscape to discover more information about the fitness landscape, and demonstrated the modeling process based on the nk - landscapes

    對適應值曲面上的隨機遊走模型進行了時間序列分析，以獲得關于適應值曲面的更多的信息，並基於nk -適應值曲面進行了實證研究。
  20. We also introduced the fractal theory to study fitness landscapes, and analyzed the complexity of fitness landscapes by computing the correlation dimension based on random walk fitness time series

    提出利用分形理論來分析遺傳演算法適應值曲面，並提出基於隨機遊走模型對適應值曲面進行關聯維數測試，以反映適應值曲面的復雜程度。
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