self-annealing 中文意思是什麼
self-annealing
解釋
自退火-
The method of combining the simulated annealing algorithms with genetic algorithms not only offset the disadvantages of the simulated annealing algorithms but also enhanced the distributivity and the self - adaptivity of the genetic algorithms
同時也為遺傳演算法和模擬退火演算法在該項目領域工程中的進一步研究、應用提供理論依據。 -
On the basis of analyzing the several traditional algorithms, the efficient design method, the self - initiated weighted least squares ( swls ) combined with adaptive simulated annealing ( asa ), are proposed explicitly for the design of pif. this chebyshev criterion based optimal approximation method has not only very fast computing speed but also high accuracy and good controllability
在對這些演算法特性分析比較的基礎上，系統完整地提出適用於lcos投影分合色偏振干涉濾光片設計的最高效方法? ?自啟動權值最小二乘演算法（ swls ）結合自適應模擬退火演算法（ asa ） 。 -
Simulated annealing study of the self - assembly of amphiphilic triblock copolymer in solution
雙親三嵌段共聚物在溶液中自組裝形態的模擬 -
We proposed an improved simulated annealing algorithm with neighbor function based on self - optimization of scale parameter. furthermore incorporating disaster - modification and the improved annealing into genetic algorithm, an improved genetic - annealing algorithm is proposed. in order to solve the deceptive minimum problem, an improved evolutionary strategy combined with similarity detection and improved mutation operator
提出了鄰域尺度函數自尋優的模擬褪火演算法，結合遺傳演算法，引入災變運算元，提出了改進遺傳模擬褪火演算法；為了解決尋優過程中的最小欺騙問題，我們提出了相似性檢測，結合改進的適應值無關變異運算元，提出了基於相似性檢測和適應值無關變異運算元的進化策略演算法。 -
According to feature that goal function has more than one local extremum in displacement back analysis for underground engineering, a new means of displacement back analysis for underground engineering has been established through adopting fem and self - adaptation idea on the basis of the improvement of the determining method of control parameters, such as initial temperature and number of state choice and annealing strategy, moreover, the relevant analytic software is developed
摘要本文針對地下工程圍巖位移反分析問題的目標函數存在多個局部極值的特點，在對模擬退火演算法進程中控制參數，即初始溫度、每一溫度下的狀態選取次數和退火策略的確定方法加以改進的基礎上，引進有限元分析手段和自適應的思想，建立了基於改進模擬退火演算法的位移反分析方法，並開發了相應的分析程序。
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