crossover design 中文意思是什麼
crossover design
解釋
交叉設計-
An assessment of the bioequivalence in s - sequence four - period crossover design
4設計的生物等效性評價 -
Design and improvement for interstage crossover of the multistage liquid hydrogen pump
多級液氫泵級間導葉的設計與改進 -
In celebration of the achievements of contemporary home design which complement our art of living, mr douglas young, prominent home designer and founder of famous local lifestyle store g. o. d., has been invited to serve as guest curator for this exhibition. adopting a crossover approach with four renowned local creative minds - mathias woo, wing shya, eric kot and tsao chip - he sets out to inspire audiences with unique visions in creative home representation
為表揚家居設計在提升生活品味方面的貢獻，本展覽邀請了著名的家居設計師及住好d創辦人?楊志超先生任客席策展人，聯同四位本地著名的創作人：胡恩威、夏永康、葛文輝及陶傑來一次crossover ，一同跳出傳統的框框，創造出別具特色的四頭家。 -
The operation measures for controlling over - filling ( over - emptying ) are feasible ; the hoisting loads of valve and miter gate are less than their design values respectively ; but, there exists cavitation phenomenon needed to pay attention to the first crossover culvert when the value is near and after whole opening
控制超灌（泄）操作方式可行；閥門、人字門啟閉力均小於設計值；閥門接近全開至全開后，輸水廊道第一分流口有空化現象。 -
Give actual mine transportation vechile system and transportation routs conditions, it can automatically find out satisfactory solutions to vechile scheduling design through genetic operations such as reproduction, crossover and mutation, etc. a new mean is offered in mining management automazation and intelligence
對于給定的礦山運輸車輛系統和運輸線路，經過遺傳演算法的復制、交換、突變等操作可以自動得出滿意的車輛調度方案，為采礦生產管理的自動化和智能化提供了一種新工具、新方法。 -
Considering the disturbance of due dates of jobs in scheduling, we design a new crossover which makes each machine keep the critical sub - schedule in the generation of offspring
考慮工作交期可能帶來的干擾，所設計的操作元在生成子代的過程中，將保持最關鍵的一段子排程。 -
The theory and the implementation of the genetic algorithms are discussed in detail. the question on how to choose the crossover probability, the mutation probability, the scale of population and the numbers of the generation is discussed. then, the mathematics model of the optimal design is established
詳細介紹了遺傳演算法的理論和實現技術，探討了交叉概率、變異概率、群體規模、進化代數等變量的選取問題，建立起了基於遺傳演算法的深基坑支護結構設計的優化模型，結合彈性地基梁有限元法，利用fortran語言編制了gafortran優化程序，程序中包括普通遺傳演算法和改進遺傳演算法。 -
Based on the genetic algorithm ' s global searching capability with probability regulation and euclid ' s space distance metric to settle multi - objective, the algorithm that integrates multi - objective ' s decision - making into the modified genetic algorithm to solute the optimal model with discrete variables and multi - objective is proposed. during the algorithm ' s design, the euclid ' s space distance metric is proposed to transform the multi - objective problem into single objective problem. and some modified measure to fitness function and crossover probability and mutation probability are used to improve the performance of the algorithm and avoid premature convergence
演算法設計過程中，利用歐幾里德空間距離準則和罰函數法，將含有約束條件的多目標規劃問題轉化為無約束的單目標優化問題；針對簡單遺傳演算法出現的早熟，構造隨進化代數動態調整適應度的適應度函數和隨個體適應度自適應調整的交叉、變異概率；提出比例選擇與精英保留策略相結合的選擇、兩點交叉和簡單變異的改進遺傳演算法。 -
The method not only can coordinate evolutionary process inside each population by using an adaptive regulation of crossover and mutation operators, but also can advance the formation of - best design by using adaptive adjustment of the competition frequency between populations
該方法不僅運用交叉運算元和變異運算元的自適應調節技術協調種內進化過程，而且通過種間競爭頻率的自適應調節促進最優個體的生成。 -
In this paper, how to design the fitness function, encoding method, selection method, crossover method and mutaion method are discussed in detail
實驗結果表明本文設計的遺傳演算法的編碼方法和遺傳運算元是適合問題求解的。拓撲優化的結果是令人滿意的。 -
In the design of crossover, we first merge two parent trees to a graph, and then create a multicast tree from the graph. based on the method, the algorithm have a good performance of crossover
在雜交運算元的設計上，通過對兩個父代個體結合，然後再生成組播樹的方法，使演算法具有較好的雜交性能。 -
The paper analyzes the features of the design of shijiezhichuang station on shenzhen subway line 1 in respect of the choice of transfer mode, the scale of transfer nodes reserved in advance, openings in the ceiling, utilization of the upper space above the region of crossover switch and the distance between the east end of the station and the existing road tunnel
摘要對深圳地鐵1號線世界之窗站設計中的特點進行分析，包括車站換乘形式的選擇，預留換乘節點的大小、車站頂板的開孔、折返線道岔區上部空間的利用、車站東端距既有汽車隧道的距離等。 -
This paper discusses the distance between tracks of main line irrelevant to code for metro design ( gb50157 - 2003 ), proposes the structure of the single crossover which couldn ' t be reconstructed or strengthened, in order to find some solutions to this problem
對單渡線的插入短鋼軌長度不滿足《地鐵設計規范》要求時，在單渡線結構不作加強和改進，並以確保行車安全為前提的基礎上對單渡線線間距作了探討。 -
This paper, firstly, expatiates the content and sense about optimal design of water supply networks, briefly introduces all optimal methods which have been advanced, analyzes these methods and points out their limitation, summarizes the factors which influence the results in optimal design of water supply networks ; secondly, it introduces the principle of genetic algorithms ( ga ). it takes yearly expenditure converting value as target function and sets up the ga model on optimal design of water supply networks based on sga by means of taking some effective measures on selection operator, crossover operator, mutation operator and some parameters setting ; finally, the ga model is verified by its application on engineering project
本文首先闡述了給水管網優化設計的內容和意義，簡要介紹了已有的優化方法，分析比較了各種優化方法並指出其存在的不足，歸納總結了影響給水管網優化設計結果的各種因素；接著，介紹了遺傳演算法的基本原理，然後在標準遺傳演算法的基礎上，通過對選擇運算元、交叉運算元、變異運算元以及部分參數的設置採取改進措施，並以年費用折算值為目標函數，建立了給水管網優化設計的遺傳演算法模型；最後，通過工程實例驗證了該模型具有一定的理論和應用價值。 -
2. ga optimized bp neural network first, selected function for evaluating. second, used matlab toolbox to design ga ( chosen selection methods, crossover type, and mutation probability ). ga could get rid of redundant node and branch effectively from bp network, and optimized it
（ 2 ）遺傳演算法優化網路首先確定評估函數，再利用matlab提供的遺傳演算法工具箱進行演算法設計（確定選擇方法、交叉類型、變異概率等） ，剔除網路冗餘節點和分支，實現對bp網路的優化。 -
Research and application of genetic expression programming algorithm based on uniform - design a new evolutionary algorithm named uniformdesign genetic expression programming ugep based on uniformdesign was proposed, which improved the way of generating initial population and also improved hybrid crossover operators. theoretic analysis proves.
提出了一種基於均勻設計的基因表達式編程演算法ugep ，該演算法對經典的gep演算法做了以下改進：利用混合水平均勻表的構造對初始種群的產生進行改進，保證了解分佈的均勻性引入自適應多親雜交運算元，用均勻優化代替隨機進化。 -
In the thesis, the key technical problems utilizing genetic algorithm and random method to design any - cast routing algorithms are explored. we designed and realized the any - cast routing algorithm based on genetic algorithm. resolved the problems concerned in the algorithms, such as the code model, the original genus selection, the fitness function, the crossover strategy, the mutation regulation, and the algorithm ' s convergence, avoidance of dead loop etc. aim at different network scales we propose two any - cast routing algorithms
論文探討利用遺傳演算法和隨機方法研究選播路由演算法的關鍵技術問題，設計實現了基於遺傳演算法的選播路由演算法，解決了演算法中的編碼模式、初始種群選擇、適應度函數、交叉策略、變異規則，以及演算法的收斂、路由死循環的避免和負載均衡等問題。 -
This paper, firstly, expatiates the content and sense about optimal design of water supply networks, briefly introduces all optimal methods which have been advanced, analyzes these methods and points out their limitation, summarizes the factors which influence the results in optimal design of water supply networks ; secondly, it introduces the principle of genetic algorithms. it takes yearly expenditure converting value as target function and sets up the genetic algorithms model on optimal design of water supply networks based on simple genetic algorithms by means of taking some effective measures on selection oper ator, crossover operator, mutation operator and some parameters setting ; finally, the genetic algorithms model is verified by its application on engineering project
簡要介紹了已有的優化方法，分析比較了各種優化方法並指出其存在的不足，歸納總結了影響給水管網優化設計結果的各種因素；接著，介紹了遺傳演算法的基本原理，然後在標準遺傳演算法的基礎上，通過對選擇運算元、交叉運算元、變異運算元以及部分參數的設置採取改進措施，並以年費用折算值為目標函數，建立了給水管網優化設計的遺傳演算法模型；最後，通過工程實例驗證了該模型具有一定的理論和應用價值。 -
In this paper, an improved genetic algorithm ( ga ) was applied to the design of high performance e - plane waveguide filters at the first time. for dealing with the shortcoming of ga as low efficiency in local optimum searching, the idea based on parallel genetic algorithm ( pga ) known as separate local optimization was presented. by separating the whole population into sub - populations, and adding a new operator known as crossover between two sub - population, the new method can provide as 2 3 times quickly as traditional ga. all numerical examinations illustrated the high convergence speed and good global searching of the new algorithm, and proved the validity of it
由於遺傳演算法表現出良好的全局搜索性能，因此本文將其應用於高性能e面波導濾波器的設計中.針對傳統遺傳演算法所存在的局部搜索能力差的缺點，本文在并行遺傳演算法的基礎上，通過將原有群體劃分為多個子群體，利用多個子群進行局部極值點的搜索，並利用群間遷徙，使改進后的演算法收斂速度平均提高了2 3倍.數值實驗表明演算法具有較快的收斂速度和較好的全局搜索性能，證明了演算法的有效性
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