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模式定理的英文

發(fā)音:   用"模式定理"造句

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  1. The modified genetic algorithm that is analyzed with the schema theorem is feasible
    模式定理論述改進(jìn)遺傳算法的可行性。
  2. The paper discusses the basic theory of genetic algorithms including schemate theorem , building block hypothesis , implicit parallelism , the analysis of astringency and so on , as the theoretical base of application
    在對(duì)遺傳算法的闡述中,討論了遺傳算法的基本原理,包括模式定理、積木塊假設(shè)、隱含并行性和遺傳算法的收斂性分析等,作為后面遺傳算法應(yīng)用的理論依據(jù)。
  3. ( 2 ) considering the problem that genetic algorithm running result is affected greatly by the initial parameter and it ’ s easy to trap in local optimum , based on its mathematic theory , studied deeply on self - adaptive genetic algorithm , presented a new viewpoint - - superiority inheritance , furthermore , designed adaptive genetic algorithm based on superiority inheritance . the experiment showed that this algorithm could find the global best solution , and had strongly global hunting capability . it is prior to traditional adaptive genetic algorithms on aspects of accuracy , stability , and repeatability etc . it was applied in fast image
    ( 2 )針對(duì)遺傳算法的初始參數(shù)對(duì)算法結(jié)果影響較大和易陷入局部最優(yōu)的問題,在闡述基本數(shù)學(xué)理論模式定理的基礎(chǔ)上,對(duì)自適應(yīng)遺傳算法進(jìn)行了深入的研究,提出了一種優(yōu)勢(shì)遺傳的新觀點(diǎn),由此設(shè)計(jì)了基于優(yōu)勢(shì)遺傳的自適應(yīng)遺傳算法,通過實(shí)驗(yàn)表明,該算法能夠達(dá)到理想全局最優(yōu)解,有很強(qiáng)的全局搜索能力,在準(zhǔn)確性、穩(wěn)定性和重復(fù)性方面優(yōu)于當(dāng)前自適應(yīng)遺傳算法。
  4. 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
    在論述了遺傳算法的思想、與傳統(tǒng)搜索算法的比較優(yōu)勢(shì)、遺傳算法的基本特征和遺傳算法的理論基礎(chǔ)(包括模式定理、隱含并行性、基因塊假設(shè)、欺騙問題和收斂性定理)后,重點(diǎn)探討了遺傳算法在flowshop調(diào)度問題中的潛力和有效性;結(jié)合啟發(fā)式規(guī)則,提出了一個(gè)改進(jìn)的遺傳算法?基于啟發(fā)式規(guī)則的有序遺傳算法,新算法在初始種群中引入了啟發(fā)式算法的解,在種群結(jié)構(gòu)上采用了先按適應(yīng)值優(yōu)劣排序再分段確定選擇概率的新策略,使優(yōu)質(zhì)個(gè)體有更多的雜交機(jī)會(huì),在變異中設(shè)計(jì)了變異控制規(guī)則,以防種群?jiǎn)我换?,而陷入局部?jī)?yōu)化解。

相關(guān)詞匯

相鄰詞匯

  1. "模式得"英文
  2. "模式的"英文
  3. "模式的電子商務(wù)模擬運(yùn)作系統(tǒng)的設(shè)計(jì)"英文
  4. "模式的解釋"英文
  5. "模式的最佳實(shí)踐"英文
  6. "模式定義"英文
  7. "模式定義長(zhǎng)度"英文
  8. "模式定義語言"英文
  9. "模式短缺"英文
  10. "模式段"英文
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