arithmetic crossover造句

• 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,利用算術交叉算子進行了交叉運算,利用構造的新的變異算子,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,實現了遺傳算法優化bp網絡的初始權值和閾值的目的。
• Better segmentation effect can be attained by coding gray levels of pixels as eigenvector , taking advantage of histogram entropy principles function as fitness function , adopting ranking selection operation , making use of arithmetic crossover and mutation at a certain probability , combining with clustering analysis to initialize clustering center of the population to segment cells image with genetic algorithm
  以像素的灰度值為特徵向量進行編碼，利用直方圖熵法準則函數作為適應度函數，采用基于排名的選擇操作，以一定的概率進行算術交叉和變異，并結合聚類分析設定種群的聚類中心對細胞圖像進行遺傳聚類分割。
• On the base of analysing the shortcoming of genetic algotithms , three improved techniques for genetic algorithms are bring forward in this paper : fuzzy penalty fitness function , random dislocation arithmetic crossover , fuzzy parameter adjust policy , which improve genetic algorithms capability of global convergence and convergent speed . at the same time , the improved genetic algorithms are applied to nonlinear mixed integer problems and complex nonlinear function optimization
  在分析實數型遺傳算法不足的基礎上，本文研究了遺傳算法的關鍵技術，分別提出了模糊懲罰評價函數、隨機錯位算術雜交算子、模糊自適應參數控制等改進技術，以提高遺傳算法的全局收斂性和收斂速度，并應用于求解非線性混合整數規劃問題和復雜高維的函數優化問題。
• It's difficult to find arithmetic crossover in a sentence. 用arithmetic crossover造句挺難的