genetic algorithms 中文意思是什麼
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Genetic algorithms simulate a multi - celled organism
遺傳演算法模擬多細胞機體 -
Cultured perl : genetic algorithms simulate a multi - celled organism
功能豐富的perl :遺傳演算法模擬多細胞機體 -
The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed
較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。 -
The research of crossover operator of genetic algorithms
遺傳演算法的交叉運算元研究 -
Taking gobang as an example, this paper proposes the base scheme for solve game problem by adopting the notion of genetic algorithms instead of search tree, and makes some exploratory work on the design of fitness function, it also provides with requirements for designing fitness function
以五子棋為例，提出了用遺傳演算法代替搜索樹法解決博弈問題的基本方案，並對適應度函數的設計作了一些有益地探索，給出了設計適應度函數應滿足的必要條件。 -
In the second section, the paper also proposes a new hierarchic genetic algorithms ( hga ), which overcome some drawbacks on simple genetic algorithms ( sga )
其次，文章提出了幾種改進辦法，提高遺傳演算法的性能。第二部分中，文章提出了改進sga不足的hga演算法。 -
A study on knapsack problem by genetic algorithms
遺傳演算法在求解背包問題中的應用 -
Knapsack ' s solution based on genetic algorithms
基於遺傳演算法的背包問題求解 -
Through calculating annual expenses and analyzing investment risk, an optimization model firstly put forward. the coefficient of investment profit of the irrigation system, which includes pipe distribution networks, drop irrigation device, is minimized. the coefficient is optimization design ' s target function which is by the genetic algorithms to solve
在系統優化方面，單獨作為一個模塊用vc + +實現，本文首次提出了以包括管網、灌水器、水泵、電機等設備在內的微灌系統的益本比最大為目標函數，利用遺傳演算法求解的方法。 -
Genetic - algorithms - based assembly line balancing
基於遺傳演算法的裝配線平衡 -
By constructing the geometrical model of a certain underground single arm type pantograph and applying the translation of pantograph - head balancing bar and the perpendicular displacement of pantograph in the direction of the movement of locomotive while raising pantograph as the objective which must satisfy the demands of locomotive ' s stable current collection, this paper applied the multi - objective optimization based on the genetic algorithms to design the pantograph mechanism
摘要在建立某地鐵單臂受電弓簡化幾何模型的基礎上，根據列車平穩受流對受電弓提出的各項要求，以受電弓升弓時機車前進方向上的縱向偏移量和弓頭平衡桿的平動為目標，以受電弓正常升弓所需升弓轉矩等為約束，運用基於遺傳演算法的多目標優化技術，對該型受電弓機構進行了優化，得到了使受電弓運動性能達到最優的幾何參數。 -
Then, pattern synthesis for sparse array antenna using genetic algorithms is researched. at last, we researched on conformal patch on the surface of cylinder and the effect of conformal antenna platform on the radiations of patches in different positions. how to get a good feeding for conformal array antenna by genetic algorithms is presented in the end
文中介紹了遺傳演算法在綜合低副瓣陣列中的應用;採用遺傳演算法給陣列天線的方向圖賦形，其結果優于同種條件下用woodward法得到的結果;同時，考察了遺傳演算法的穩定性;分析討論了遺傳演算法在綜合稀疏相控陣方向圖綜合中的應用。 -
The numerical simulation equations of the border curves in term of and as well as the matching rules and the frequency dependence of microwave electromagnetic parameters of a broad - band homogeneous absorbing coating with a finite value of reflection loss are available. these results pointed out the direction to develop rams ". according to the radar - absorbing model, the optimized design of rams with thin - layer, light - weight, broadband and strong - absorbing is available by the simple genetic algorithms, which can effectively conduct the research work of rams to the detail. small but completely, the electromagnetic parameter ' s databases of rams that based on actual microwave absorbers have been set up, the object function has been constructed which conform to the involved goals, the adaptive coding measure is taken which extends the coding length dynamically adapting to the condition of the number of actual absorbers or the precision of thickness and absorber - volume - percentage, the decoding technique is initiated which satisfies light - weight and strong - absorbing as well as thin - layer and broadband by adopting of tracing variable restricting conditions dynamically to control total thickness. when decoding, the variable restricting conditions of thickness are dynamically traced, so gain the radar absorbing coatings of light - weight multiple - layer single - ingredient. similary, of thickness and absorber - volume - percentage, of light - weight multiple - layer multiple - ingredient. also, the rams ' demand to radar - absorb performance as frequency is met making use of the penalty function
作為遺傳演算法的具體實施：根據本實驗室近來研製的吸波材料，建立了吸波材料的相關數據庫；構造了能真實體現「薄、輕、寬、強」優化目標的目標函數；根據材料的實際數量以及塗層厚度精度要求、吸收劑體積分數精度要求，建立了能動態擴展相應碼長的自適應編碼方法；首創了通過動態跟蹤變量的約束條件來控制塗層總厚度的解碼技術，以此實現了在不弱化寬頻、高強的吸波性能目標的同時，兼顧到薄層、輕質的使用性能要求；在解碼時通過動態跟蹤厚度變量的約束條件，實現了多層單組分吸波塗層對重量輕的要求；通過動態跟蹤厚度變量的約束條件和吸收劑體積分數的約束條件，實現了多層多組分吸波塗層對重量輕的要求；使用權重系數變化法，實現了吸波塗層的分頻段吸波性能要求。 -
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。 -
To detect both known and unknown intrusion patterns, the system introduces a blended frame that makes use of both misuse detection approach and anomaly detection approach. the one of the highlight of the architecture is introduction of data mining technique, and the other is introduction of genetic algorithms. the ids uses data mining algorithms to abstract key features of system runtime status from security audit data, and it uses genetic algorithm to select the feature subset to reduce the amount of data that must be obtained from running processes and classified
本文陳述了所研究系統的主要特點和技術：將智能體（ agent ）技術應用於入侵檢測系統，解決了傳統入侵檢測系統的集中式解決方案的弊病，充分利用網路資源協同完成入侵檢測任務；利用基於主機和基於網路的數據源，形成一種完整的混合型的結構，從而能收集到更加全面的信息；使用了異常檢測技術和誤用檢測技術，採用一種混合型的結構，既能檢測已知的攻擊模式，又能發現新的攻擊模式。 -
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。 -
Abstract : aiming at the variety of modals of nonlinear systems, we proposed a general parameter estimation method based on genetic algorithms ( ga ), which can be used in most kinds of nonlinear system modal. this method was applied to simulating parameter estimation of several different examples of nonlinear systems. the results proved that the method is effective and useable
文摘:針對非線性系統模型的多樣性，提出適用於多種非線性模型的基於遺傳演算法的參數估計方法，並以多種非線性模型為例作了模擬研究.結果表明，遺傳演算法是非線性系統模型參數估計的有效工具 -
Firstly, in this thesis, we discuss the development of one - dimensional cutting stock problems and other well - known algorithms about them, summarize the basic principle of genetic algorithms, and analyze the effect of coding, fitness function, crossover operators and mutation operators in the genetic process of genetic algorithms
本文首先介紹了一維下料問題的研究概況及其已有的著名演算法，綜述了遺傳演算法的基本原理和方法，分析了遺傳演算法的編碼、適應度函數、交叉和變異運算元在整個遺傳演算法的運算過程中的作用。 -
Genetic algorithms for a class of integer linear goal planning
一類整數性目標規劃的遺傳演算法 -
The method of deformable template matching based on genetic algorithms to auto - gridding is adopted in the paper
本文採用遺傳演算法為基礎的變形模板匹配方法來完成基因晶元圖像的自動網格定位。
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