local annealing 中文意思是什麼
local annealing
解釋
局部退火-
Based on the comparing analysis and character of clustering algorithm the simulated annealing （ sa ） algorithms was applied to the data clustering. simulated annealing （ sa ） algorithms are random search techniques based on physical annealing process, which can prevent the optimizing process into local optimization and get the global optimization
演算法以優化過程的求解與物理退火過程的相似性為基礎，通過接受準則和對下降溫度的控制，能夠有效的克服優化過程陷入局部極小從而獲得全局最優解。 -
In the hybrid approach, based on the global search ability, discrete artificial immune algorithm is used to search the optimal solution and simulated annealing is applied to avoid getting into a local optimum
該方法利用離散人工免疫演算法的全局搜索能力來尋找全局最優解，利用模擬退火方法來避免陷入局部最優。 -
Then a new improving scheme of ga which we call it hgsaa ( hybrid gentic - simulatd annealing algorithm ) is put forward based on the existing condition, and the new algorithm works more efficiently than the old one because it has not only ga ' s global searching capability but also saa ' s local searching capability. the simulatio results show the new algorithm is more effective than ga. the minimum cost is reduced and the clustered network structures have been produced with the onus are evenly distributed or clustered around the obds and the clustered network structures are well ordered with a satisfactory degree of symmetry after the hgsaa has runed 100 generation
吏為重要的是，本文充分利用了混合遺傳演算法的思想，將遺傳演算法和模擬退火演算法的優勢相結合，使得遺傳演算法的全局尋優能力與模擬退火演算法的局部尋優能力在該問題的求解過程中充分發揮了作用，由本文實現的混合遺傳一模擬退火演算法明顯地改進了演算法的效果，由此生成的網路方案的建設費用得到極大減少，同時拓撲結構的優化結果也比單純的遺傳演算法的效果好得多。 -
The icm method is the fastest one, which is equivalent to the zero temperature annealing procedure, but it will drop into the local minima inevitably in the segmentation task
Icm方法是最為快速的退火方法，它相當于把溫度固定在0度時的退火過程，但不可避免地會收斂於一個局部極小點。 -
At present, local morphology was used to discriminate ferroelectric phase area and non - ferroelectric phase area, but once morphology variation of phase transformation was tiny, the ferroelectric phase area and non - ferroelectric phase area was hard to discriminate only from morphology view. however, the introduction of sndm can overcome this limitation, and visualize the investigation of annealing process. combining x - ray diffraction, atomic force microscopy ( afm ) with sndm, the phase transformation process of pzt thin films with different annealing time and of plt films with different annealing temperature were studied, respectively
結合原子力顯微鏡（ afm ） 、 sndm 、 x射線衍射（ xrd ） ，通過對微區形貌、電容分佈變化和鐵電薄膜結晶情況的表徵和分析，研究了pzt鐵電薄膜和plt鐵電薄膜的晶化過程，分析了不同退火時間對pzt鐵電薄膜微結構，不同退火溫度對plt薄膜的微結構和微區極化分佈的影響，有效克服僅依據形貌特徵判定鐵電相與非鐵電相的局限性，實現鐵電薄膜微區晶化過程的可視化分析，豐富了晶化過程的研究方法。 -
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。 -
4. because genetic algorithm obtains local optimal solution at times, an approach was advanced that incorporates simulated annealing into genetic algorithm to improve the performance of genetic algorithm. an annealing operation is added and can improve the convergence rate evidently in multiple sequence alignment
針對遺傳演算法容易陷入局部最優解的缺點，提出模擬退火演算法與遺傳演算法相結合的思想，在遺傳操作中加入退火操作，可明顯提高多序列比對進化後期的收斂速度。
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