genetic exchange 中文意思是什麼

genetic exchange 解釋
遺傳交替
  • genetic : adj. 1. 遺傳(學)上的。2. 發生的,發展的;創始的。adv. -ically
  • exchange : vt 1 (以某物與另一物)交換,調換 (for) 2 互換,交流,交易。3 兌換。 vi 1 兌換 (for) 2 交換;...
  1. Xenogenesis. octavia butler. the oankali aliens have saved the earth. for a price. oankali survival requires constant genetic exchange … … and we are mating stock

    外星人歐安卡利拯救了地球。作為代價,歐安卡利的倖存者需要穩定的基因的交換… …而且我們是交配的原料。
  2. Based on these graphic models an efficient routing algorithm, called ieacs ( intensified evolutionary ant colony system ) algorithm is suggested. ieacs merges the acs ( ant colony system ) and ga ( genetic algorithm ), thus features both the mechanism of cooperative learning of acs and the information - exchange capability of ga, is presented in this thesis. in case of asymmetric grid graph and grid - off graph

    然後,介紹了一種兼具生物仿生特性的蟻群和遺傳演算法特點的進化蟻群演算法,並對該演算法模仿蟻群的協同學習機制,以及遺傳演算法的優秀群體中的個體之間信息交換的策略進行了闡述,接著探討了該演算法在總體布線和斯坦納樹問題中的應用。
  3. It is necessary for a species " adaptation and evolutionary potential to keep genetic variety at a relative level. genetic diversity in the population must not be lost furthermore and gene exchange among individuals should be enhanced as much as possible to avoid extinction of crested ibis

    一定程度的遺傳變異性是維持種群的適應力與進化潛力的必要條件,為使朱?免於滅絕的厄運,必須避免其種群遺傳多樣性的進一步喪失,並盡可能增加個體間的基因交流,最大限度地避免近親繁殖。
  4. The difference between this algorithm and traditional genetic algorithm lied in the fact that this algorithm adopted order crossover and cell exchange mutation methods ; at the same time crossover probability and mutation probability were optimized

    與傳統遺傳演算法不同的是,該演算法採用了順序交叉和單元交換變異方式,同時對交叉概率和變異概率進行了優化設計。
  5. This thesis contrasts and analyses the different calculation - method, and improves the genetic algorithm in the parameter inversion of the rock and soil engineering. the strategies are mainly in the following three aspects : 1, new searching way is compositely searching genetic algorithm which is made up of the acceleration method and genetic algorithm when it partially calculates in the later time ; 2, index function is inducted in gengetic operators, at the same time repeated select and double exchange pool are used ; 3, splicing crossover, which reserves some new evolution factions, improves authority function accaunting the capabilities and kinds

    本文對優化演算法中不同求解方法進行對比分析,針對遺傳演算法在巖土工程參數反演運算中進行了改進,改進的策略主要集中於三個方面: 1 、提出了在遺傳演算法中融入形加速法的改進方法? ?復合遺傳搜索法; 2 、針對遺傳運算元的選擇策略,引入指數適值方法,設置雙交換池,提出了重復篩選法; 3 、加強對劣勢種群的內部優良信息的遺傳功能的改進,引入權函數,擴大可交叉運算元的種類,保留各運算元的進化功能,提出了融合交叉運演算法。
分享友人