premature convergence 中文意思是什麼

premature convergence 解釋
早期收斂
  • premature : adj. 1. 早熟的；不成熟的。2. 過早的，不到期的；時機未成熟的。n. 1. 早產的嬰兒。2. 過早爆發的炮彈。3. 過早發生的事物。
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. To optimize the multi - phase homing trajectory, an improved adaptive genetic algorithm ( iaga ) was proposed, which could efficiently improve convergence speed and avoid the occurrence of premature

    在對分段歸航軌跡的優化中，提出了改進自適應遺傳演算法，該演算法通過增加「強化」運算元、改進對種群「早熟」程度評價指標等，有效地提高了收斂速度、避免了「早熟」現象。
  2. At first, in order to prevent the premature convergence of genetic algorithm effectively, the author brings forward a novel dyadic floating - point supplementary mutation operator. then, simulating the natural evolution, the author presents a novel topology, unoriented - connected topology, for parallel genetic algorithm. in the end, an interval decomposed optimization method is brought forward for ipga, which can improve the optimization performance of the algorithm

    為提高演算法的性能，作者對遺傳演算法進行三種改進：首先，為克服遺傳演算法早熟收斂，作者提出一種新的二元浮點補碼變異運算元；其次，模擬生物自然進化模式，為并行遺傳演算法提出了一個新的并行拓撲結構- - - -無定向拓撲連接；最後，作者提出一種區間分解優化思想，來提高對最優解的搜索能力。
  3. To make further study on the optimization capability of iga and other correlative capabilities mathematically, stochastic theory is used to analyze iga. as a result, the global convergence of iga and other correlative characteristics are got. meanwhile, the convergent effect and the mechanism on prevention from premature of iga is studied so that the effectiveness and the superiority of the algorithm proposed in the dissertation are proved theoretically

    為了從數學角度更加深入地分析iga的優化能力及相關性能，利用隨機過程理論對iga進行分析，並證明了iga的全局收斂性及其他相關性質，還對iga的收斂效果以及對早熟的防治機理進行了研究，從而在理論上證明了本文演算法的有效性和優越性。
  4. Based on the genetic algorithm ' s global searching capability with probability regulation and euclid ' s space distance metric to settle multi - objective, the algorithm that integrates multi - objective ' s decision - making into the modified genetic algorithm to solute the optimal model with discrete variables and multi - objective is proposed. during the algorithm ' s design, the euclid ' s space distance metric is proposed to transform the multi - objective problem into single objective problem. and some modified measure to fitness function and crossover probability and mutation probability are used to improve the performance of the algorithm and avoid premature convergence

    演算法設計過程中，利用歐幾里德空間距離準則和罰函數法，將含有約束條件的多目標規劃問題轉化為無約束的單目標優化問題；針對簡單遺傳演算法出現的早熟，構造隨進化代數動態調整適應度的適應度函數和隨個體適應度自適應調整的交叉、變異概率；提出比例選擇與精英保留策略相結合的選擇、兩點交叉和簡單變異的改進遺傳演算法。
  5. In order to enhance the applying efficiency of cl, the cause of premature convergence in binary - coded genetic algorithms ( gas ) is analyzed in this dissertation. the drawback of conventional mutation operator in preventing premature convergence is subsequently pointed out. whereafter, a genetic algorithm, which can be implemented via general logic gate circuit, is proposed

    為了提高計算智能的應用效率，本文分析了二進制遺傳演算法中早熟收斂的成因，指出了傳統的變異運算元在防止早熟收斂方面的不足，提出了一種能有效預防早熟現象的二元變異運算元，並在此基礎上提出了一種便於用常規邏輯門電路實現的遺傳演算法。
  6. Secondly, the intelligent optimization algorithms are used as search strategy. to overcome the genetic algorithm ( ga ) ’ s premature convergence, the metropolis scheme was introduced into ga

    針對遺傳演算法的「過早收斂」 ，我們採用混合優化演算法，將模擬退火演算法的metropolis接受準則引入到遺傳演算法中。
  7. Through chaos optimization method embedded into the genetic algorithm. the algorithm with the combination the advantages of the genetic algorithm and chaos optimization method which need not the optimal problem function ' s differential and promote the ability of the genetic algorithm ' s locally meticulous search can be obtained with the faster convergence and the greater probability for the global solution. a chaotic sequence is inserted into the search procedure of genetic algorithm, which can overcome premature of the search by genetic algorithm and the speed of convergence is faster than standard genetic algorithm

    對遺傳演算法進行了理論分析，並且研究了遺傳演算法的設計與實現；利用混沌優化方法不依賴于梯度信息的性質，將其與遺傳演算法相結合，提出了一種求解連續不可微函數優化問題的混合遺傳演算法；基於對于符號動力系統的研究，利用混沌序列的遍歷性，將混沌序列引入遺傳演算法中，提出一種嵌入哈爾濱工程大學博土學位論文一混飩序列的遺傳演算法，該演算法有效地克服了標準遺傳演算法中的早熟現象，並且具有更快的收斂速度。 」
  8. New genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點，提出了一種新的種群數自適應遺傳演算法。
  9. A new genetic algorithm with adaptive population size ( ngaaps ) is proposed to overcome premature convergence and slow convergent speed in the later evolution process of simple genetic algorithm

    摘要針對簡單遺傳演算法存在早收斂和在進化後期搜索效率較低的缺點，提出了一種新的種群數自適應遺傳演算法。
  10. Premature convergence is still the prominent problem in genetic algorithms. some excellent individuals or genes are lost due to premature convergence, which causes local optimum. a parameter adaptive genetic algorithm based on the entropy estimating is advanced in this paper

    自適應遺傳演算法的控制參數可以根據個體的適應度大小進行自適應調整，體現了生物進化中「優勝劣汰」的思想，使其收斂速度較基本遺傳演算法有了很大提高。
  11. The research analyzed the main reasons for the premature, stagnation and slow constringency of standard ant algorithm, and proposed an improved version of the ant algorithm grounded on the original algorithm, which could effectively improve the rate of the algorithm convergence, and its application in tsp has achieved very good result

    摘要分析了標準蟻群演算法易於出現早熟、停滯和演算法收斂速度慢的主要原因，在原有演算法基礎上提出了一種改進型的蟻群演算法，該演算法可以有效的提高收斂速度，並把該演算法應用到tsp問題中，取得了很好的效果。
  12. Three improvements were proposed. that is : coding the chromosome with floating point numbers, selecting different optimal strategy according to the electric dimension of the target, utilizing subsection varying parameter genetic algorithm to avoid trapping in premature convergence. the optimization time was saved significantly after adopting these methods

    針對球面和半球面結構的雷達吸波材料優化設計時間長，提出三點改進方法：染色體採用浮點數編碼；依據優化目標的電尺寸採用不同的優化策略；優化過程中採用分段變參數的優化方法。
  13. Fitness scaling was proposed to fight the premature convergence of ga. in fact, the existent fitness scaling does not fulfill the desire. the paper let it be more reasonable

    對適應度尺度變換的研究，人們為了避免早熟收斂，提出了適應度變換的調整方法，但實際上已知的調整方法並不能滿足要求，本文對此進行了更進一步的分析，提出了合理的適應度尺度變換法。
  14. 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。
  15. And then, the eight - parameter 2d projection model is optimized by ga, including adjusting genetic operators to eliminate the local convergence and premature convergence problem

    接著本文採用遺傳演算法優化二維投影模型的8個參數，通過調整遺傳運算元來消除局部收斂和末成熟收斂問題。
  16. But in engineering practice, premature convergence often happens, and sometimes the speed of convergence is very slow, which greatly restrict the application of genetic algorithm

    但是在實際工程應用中經常發生早熟收斂現象，且有時收斂速度非常慢，這在很大程度上限制了遺傳演算法的進一步普及應用。
  17. If these parameters are designed unreasonably, si outstanding problem appears : the premature convergence

    如果這些參數設計的不合理，很容易引起遺傳演算法的早收斂。
  18. In the third part, in order to prevent shortcoming of the entrapment in local optimum of ordinary bp and the premature convergence of basic ga, a new algorithm which combines bp with ga is presented, which is used to detect the rotor winding short

    神經網路採用bp演算法易陷入局部最優，而基本的ga易出現早熟，將bp和ga相結合用於故障診斷，並通過算例驗證了該方法的可行性。
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