fitness value 中文意思是什麼
fitness value
解釋
適合度值-
We are dedicative - we are willing to help each of our client to achieve the greatest health, we are willing to share our valuable experience with you, we are willing to assist every groups to achieve their crowning value, we are willing to spread all of the benefit of exercise and fitness to all over the world
我們敬業-我們願意幫助每一個客戶實現最好的健康，願意將寶貴的經驗與每一個教練分享，願意協助每一個團隊實現最大的價值，我們願意將運動、健康的的益處傳播給全人類！ -
The position of biggest niche - fitness value of cotton fiber, which is topped in june 25 ( superscript th ) in multi - topping treatment move up to top
二、三次打頂處理中的6月25日打頂棉株棉纖維生態位適宜度最大值所在部位上移至棉株上部。 -
Genetic algorithm is used to find arrangement information after first phase matching. rough match result of one arrangement is used as its fitness value in the paper
第一個階段匹配后，本文使用遺傳演算法尋找圖像序列位置關系，該遺傳演算法使用粗略匹配得到的結果作為一種位置關系的適應度。 -
The method combining local ga with global ga optimizes the performance of visual servoing system. first, target recognition preprocess is carried out by global ga. after the fitness value reaches a certain threshold value, the global ga will
主要通過全局ga完成目標檢測的預處理，當適應度值達到一定的閩值以後，它將切換到局部ga來進行一個更為精細的和快速的目標識別。 -
Based on natural selection, it executes three same and simple genetic operators : selection, crossover and mutation. under the leading of fitness value, it makes an efficient searching in complex spaces until acquiring the best result
它基於自然選擇的原理，通過循環執行相同的、簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下對復雜的解空間進行有效地搜索，直到獲得最優的解。 -
Finally, simulation experiments, the different parameters set out under the track, population size of the different fitness value of statistical analysis, the results showed that use of genetic algorithms in robot path planning is effective and feasible
最後通過模擬實驗，對不同參數設置下規劃出的路徑進行比較，不同種群大小的適應度值進行統計分析，結果表明，遺傳演算法應用在機器人路徑規劃中是有效的，可行的。 -
It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result
在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。 -
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，利用算術交叉運算元進行了交叉運算，利用構造的新的變異運算元，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，實現了遺傳演算法優化bp網路的初始權值和閾值的目的。 -
In order to satisfy dynamic characteristics of the robot system, the individual that has the maximum fitness value is assigned to be input of the robot visual controller by evaluating inverse kinematics after each generation ga evolution. so the path planning based on ga process is considered to be in real time mode, which satisfies the requirements of a real time dynamic system
為了滿足機器人視覺伺服系統的動態特性，把每一代ga進化后適應度值最大的個體作為機器人視覺控制器的輸入（要通過解機器人逆運動學） ，這樣就可以把基於6a的路徑規劃（目標搜索）看成是實時的，使改進后的ga能夠滿足實時系統的要求。 -
In order to calculate difficult transportation cost between plants and distribution centers in the fitness value function, flow prediction algorithm was presented to find an minimum - cost flow patterns on an network composed of plants, consolidation centers and distribution centers with concave transportation costs and to obtain the appropriate fitness value
為了解決適應度函數中的工廠與分銷中心之間的運輸成本計算困難的問題，提出了流預測演算法，用於確定產品在工廠、集貨中心和分銷中心構成的凹費用流網路中的最優運輸路徑，進而獲得適應度函數值。 -
In this text, we first do some research on the genetic algorithm about clustering, discuss about the way of coding and the construction of fitness function, analyze the influence that different genetic manipulation do to the effect of cluster algorithm. then analyze and research on the way that select the initial value in the k - means algorithm, we propose a mix clustering algorithm to improve the k - means algorithm by using genetic algorithm. first we use k - learning genetic algorithm to identify the number of the clusters, then use the clustering result of the genetic clustering algorithm as the initial cluster center of k - means clustering. these two steps are finished based on small database which equably sampling from the whole database, now we have known the number of the clusters and initial cluster center, finally we use k - means algorithm to finish the clustering on the whole database. because genetic algorithm search for the best solution by simulating the process of evolution, the most distinct trait of the algorithm is connotative parallelism and the ability to take advantage of the global information, so the algorithm take on strong steadiness, avoid getting into the local
本文首先對聚類分析的遺傳演算法進行了研究，討論了聚類問題的編碼方式和適應度函數的構造方案與計算方法，分析了不同遺傳操作對聚類演算法的性能和聚類效果的影響意義。然後對k - means演算法中初值的選取方法進行了分析和研究，提出了一種基於遺傳演算法的k - means聚類改進（混合聚類演算法） ，在基於均勻采樣的小樣本集上用k值學習遺傳演算法確定聚類數k ，用遺傳聚類演算法的聚類結果作為k - means聚類的初始聚類中心，最後在已知初始聚類數和初始聚類中心的情況下用k - means演算法對完整數據集進行聚類。由於遺傳演算法是一種通過模擬自然進化過程搜索最優解的方法，其顯著特點是隱含并行性和對全局信息的有效利用的能力，所以新的改進演算法具有較強的穩健性，可避免陷入局部最優，大大提高聚類效果。 -
We also strive to help our students develop their physical fitness, inculcate in them the spirit of teamwork as well as serve the others. we are committed to providing them with training leading to the appreciation of art and aesthetics. we are also devoted to teaching our students to learn the words and acts of jesus so as to help them develop a positive attitude towards learning and active participation, and grow into healthy and civic - minded youngsters with a wholesome character, a positive outlook in life and a correct sense of value
本校致力培養學生的自律、自治、自學、獨立思考、創作及領導的才能，也著重鍛?他們的體魄、團隊合作和服務精神，提供他們對美和藝術欣賞的訓練，並教導他們學習耶穌的言行，使學生建立積極學習和主動參與的態度，有良好的公民意識、健全的人格、正確的人生觀和價值觀。 -
During the development, problems of actual layout have been considered, both the method using the experiential value of fitness function to identify the number of the initial rectangle parts and the method of magnifying rectangle parts to eliminate the influence of cutting gap have been advanced
在開發過程中，全面考慮了實際排樣所面臨的種種問題，提出了用適應度函數經驗值來估計初始可排矩形件數目的方法；用矩形件放大的方法來消除切縫對排樣圖的影響。 -
This hybrid algorithm take advange of local search of pattern search and whole search of genetic algorithm. it first confines the direction of large scale search to the area of high fitness by genetic algorithm, and then utilizes pattern search to search in the small area got by the searching of genetic algorithm., thereby the optim value is got
該方法利用了單純形法的局域搜索能力和遺傳演算法的全局搜索能力，通過遺傳演算法控制大范圍搜索的方向，使得搜索向著適應度值高的區域發展，再通過單純形法在遺傳演算法搜索到的區域內進行小范圍的鄰域搜索，從而能夠得到高適應度值域的最優值。 -
The present algorithm provides a threshold aid uses the value of the dual fitness function to distinguish global optimal and local optimal basins
該法提供了一個閾值，利用對偶適應度函數值辨別全局最優盆和局部最優盆。 -
The key is that adaptive fitness can be defined without reference to survival : large beaks are better adapted for crushing seeds, irrespective of whether that trait has survival value under the circumstances
關鍵在於，定義因適應而產生的生殖成就，不必涉及生存：大的喙嘴比較適應咬碎種子的工作，這與大型喙嘴在鳥兒所處的棲境中有沒有生存價值無關。 -
There is important reference value for the clinical application of prosthodontic all - ceramic restoration to study the mechanical properties of zirconia and veneer ceramics, the influences of the manufactory process of all - ceramic restoration on the material properties and the marginal fitness of the all - ceramic restoration manufactured by computer - aided design / computer - aided manufacturing ( cad / cam ) system, getting and analyzing authentic experimental data and then drawing conclusions
目前研究主要涉及氧化鋯和二層瓷的機械性能，全瓷修復體工藝製作過程對材料性能的影響，計算機輔助設計計算機輔助製作（ cad / cam ）系統所加工的全瓷修復體與基牙之間邊緣適合性等方面，而其實驗參數的獲得及結論的提出，對口腔全瓷修復技術的臨床應用有著重要的參考價值。 -
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餐廳主營粵菜，鮑翅燕等各種特色菜肴，無論是私人聚會或是單獨宴請，風格迥異的中餐廳提供的是一種超值享受。 -
Genetic algorithm is a searching algorithm that simulates biology evolvement in nature. because of its briefness, strong robustness, especially it need not expert domain knowledge but fitness function as the value guide searching process, its applications are very abroad
遺傳演算法是一種模擬自然界生物進化的搜索演算法，由於它的簡單易行、魯棒性強、尤其是其不需要專門的領域知識而僅用適應度函數作評價來指導搜索過程，從而使它的應用極為廣泛。 -
Some popular methods in international world encountered failure in china, such as beyond budget management, enterprise resource planning, economic value added and balance score card, etc. this further makes out the theoretical and practical value of devoting into the research of the fitness between ce and mcs. based on the previous statement, this paper tries to review the occident theorists " works and probes into how the different whole ce leads to different mcs. and it also tries to describe the mcs model that chinese enterprises can select in the certain ce
但同時我國企業目前的管理中，管理控制低效或失效的例子卻比比皆是，尤其是國際上一些理論價值較高和應用效果較好的流行做法，如超預算管理、企業資源計劃、經濟增加值、平衡計分卡等的應用往往流於失敗，這也更進一步說明了研究管理控制系統與控制環境間適應性的問題不僅僅具有學術研究中彌補理論空白的價值，更在實踐中具有重要的應用價值。
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