crossover block 中文意思是什麼
crossover block
解釋
絕緣墊塊-
Mouse control, even for the same two patterns can be deleted, not crossover elimination, not separated block elimination oh
鼠標控制，連取相同兩個圖案就可消去，不能交叉消去，不能隔塊消去哦。 -
Introduction : mouse control, even for the same two patterns can be deleted, not crossover elimination, not separated block elimination oh
鼠標控制，連取相同兩個圖案就可消去，不能交叉消去，不能隔塊消去哦。 -
( 5 ) ga ' s operators are improved to reach better evolution effects, such as choosing proper fitness function, using 2d equal - block crossover and multi - bit mutation, expending the population size to reach better evolution effects. the structural results are effectively made better
（ 5 ）本文提出了二維均勻分塊交叉、 「擴大種群」的進化機制，引入多點變異，保證了ga種群適應度平均值的有效進化和群體的多樣性，實現了拓撲結構的遺傳進化。 -
The typical symmetric tsp ( traveling salesman problem ) solving process was used to test various recognition methods, and then the test results were used to improve the traditional ga, including improving the recognition rate of building blocks and mutation and crossover operators based on building block
利用經典的對稱旅行商問題求解過程來測試各種識別方法，再利用積木塊的識別結果改進原有遺傳演算法，包括改進積木塊的識別率以及基於積木塊的交叉、變異運算元。 -
Application of the mf method normally involves construction of an intermediate column at every 4 meters. on a crossover section, which serves as a passage for train change directions, intermediate columns placed at 4 - meter intervals would block the route of a turning train. therefore, a solution must be found to the problem of location of intermediate columns on crossover sections
（四）轉轍段（ crossover ）處以多圓形潛盾工法施作之可能性，由於轉轍段系為提供電聯車換軌功能之處，兩軌道間不能有任何障礙物，而多圓形隧道環片間每隔四米即需中間柱，于設計上有何解決之道。 -
Perfection and adjustment according to system properties, it combines genetic algorithms with fuzzy control, detailed analyzes the problem of designing fuzzy controller and proposes two advanced schemes : first scheme : the change - of - variables are emerged into input variables of the simple fuzzy controllers of oil feeding pump system as one variable, and one pi block is connected after output of fuzzy controllers, consequently the structure of the improved fuzzy controller is analyzed, finally genetic algorithms with adaptive probabilities of crossover and mutation is applied to optimize membership functions and fusing factors of the fuzzy controllers, and the simulation results of before and after optimization are compared
由於在模糊控制器的設計過程中存在較多的人為因素，為了實現根據系統特性對模糊規則和隸屬函數進行自動修正、完善和調整，本文將遺傳演算法和模糊控制結合起來，並針對前面設計的模糊控制器中所存在的問題進行了詳細分析，提出了兩種改進方案： 1在簡單模糊控制器的輸入變量中加入了變量變化率的信息，即將輸入變量和變量的變化率融合為一個輸入量，並在模糊控制器的輸出端加入比例、積分環節，然後分析了這種改進后的模糊控制器的解析結構，最後採用改進后的自適應遺傳運算元的遺傳演算法對模糊控制器中的隸屬函數和融合因子進行優化，並將優化前後的結果作了比較和分析。 2
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