更迭階段 的英文怎麼說

中文拼音 [gēngdiějiēduàn]
更迭階段 英文
alternating phase
  • 更 : 更副詞1. （更加） more; still more; even more 2. （再,又） further; still further; furthermore
  • 迭 : Ⅰ動詞（輪流; 替換） alternate; change Ⅱ副詞1 （屢次） repeatedly; again and again 2 （及） in tim...
  • 階 : 名詞1. （臺階） steps; stairs 2. （等級） rank 3. [醫學] （耳蝸的三個螺旋管的任一個） scala 4. [數學] order 5. [地質學] stage
  • 段 : Ⅰ量詞（部分） section; segment; part; paragraph; passage Ⅱ名詞（姓氏） a surname
  • 更迭 : change; alternate; alternation
  • 階段 : stage; phase; period; gradation; bench
  1. A two - stage hybrid scheme is proposedbased on the criteria that decreasing mode nuinber reasonably and different attention shouldbe given to different class control variables, i. e., at the begirming stage, a larger granu1arity isused to make ga searching the area contaning optimal sollltion with less generation. thehybrid scheme of binary and integer code distinguished by voltage level is of clear levelconception thus can search the high voltage control variables more carefully. crossover andmutation of ga are also refined on the basis of above scheme

    並從合理減少模式數以及對不同變量給予不同程度關注的原則出發，提出了兩階段分層混合編碼方案：在遺傳演算法的開始階段，用較粗的粒度編碼，使遺傳演算法能夠用較少的迭代次數快速搜索到最優解所在的區域；按電壓等級分層的二進制和十進制混合編碼，具有清晰的層次概念，對那些影響較大的高壓網控制變量能夠有針對性地以更高的精度進行搜索。
  2. But, pso convergence ' s speed become slow in latter iterative phase, and pso is easy to fall into local optimization. at present, some scholars improve base pso mostly using 3 methods : disperse algorithm, increase convergence speed, enhance particle ' kinds. in the paper, i put forward 2 methods aiming at local best resutl but not whole best result. i modify base pso using the last method. some scholars put forward times initializations, so i select best result after circulating some times to be a parameter of formula. first, put particle into some small region, and ensure every region having one paticle at least. second, every region ' s particle has probability transfer other regions. although increase running time, enhance particle ' kinds, decrese the probability of convergence far from whole best result. nerms ( network educational resource management system ) is one of the research projects in the science and technology development planning of jilin province. the aim of nerms is to organize and manage various twelve kinds of network educational resources effectively so that people can share and gain them easily and efficiently, so as to quicken the development of network education

    但粒子群演算法仍存在如下不足:首先在多峰的情況下，粒子群有可能錯過全局最優解，遠離最優解的空間，最終得到局部最優解;其次在演算法收斂的情況下，由於所有的粒子都向最優解的方向群游，所有的粒子趨向同一，失去了粒子間解的多樣性，使得後期的收斂速度明顯變慢，同時演算法收斂到一定精度時，演算法無法繼續優化，本文對原始粒子群演算法提出了二點改進方案: 1 .演算法迭代到一定代數后，把此時找到的全局最優解當作速度更新公式的另一參數（本文稱之為階段最優解）再進行迭代; 2 .每次迭代過程中除最優解以外的每個粒子都有一定概率「變異」到一個步長以外的區域，其中「變異」的粒子在每一維上都隨機生成一個步長。
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