元遺傳演算法 的英文怎麼說
中文拼音 [yuányízhuànyǎnsuànfǎ]
元遺傳演算法
英文
meta genetic algorithm- 遺 : 遺動詞[書面語] (贈與) offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
- 傳 : 傳名詞1 (解釋經文的著作) commentaries on classics 2 (傳記) biography 3 (敘述歷史故事的作品)...
- 演 : 動詞1 (演變; 演化) develop; evolve 2 (發揮) deduce; elaborate 3 (依照程式練習或計算) drill;...
- 算 : Ⅰ動詞1 (計算數目) calculate; reckon; compute; figure 2 (計算進去) include; count 3 (謀劃;計...
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 遺傳 : [生物學] heredity; hereditary; inheritance; inherit
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The research of crossover operator of genetic algorithms
遺傳演算法的交叉運算元研究Another topic of this article is to try to find a proper overlay design method. by using elastic layer system ( els ), finite element method ( fem ), genetic arithmetic ( ga ) back calculation and efficacious thickness method, the paper puts forward four design methods. the results say that the position where the max stress appears is not the only one but varies with the thickness of overlay
根據陜西省高速公路瀝青路面病害以及使用性能的實際情況,提出了代表彎沉值的計算方法以及下臥層模量的反演方法,在此基礎上利用彈性層狀體系理論、有限單元理論、遺傳演算法以及有效厚度法等理論對加鋪層厚度設計方法進行了研究。This dissertation deals with the content - based image retrieval ( cbir ) theory and technique ; some new features and tools for more concisely and discriminatingly charactering the content of an image are proposed, such as region - based color histogram, grey - primitive co - occurrence matrix, ratio of centripetal moment, ratio of eccentric moment and ratio of inertial moment. a new modified genetic algorithm is also described in this dissertation, which can upgrade the performance of standard genetic algorithm ( sga ) while used in image segmentation
本文以圖像數據庫檢索為主線,討論了基於視覺內容的圖像檢索方法,提出包括基於區域顏色直方圖、灰度?基元共生矩陣及向心矩比、偏心矩比、慣性矩比的特徵描述方式;對遺傳演算法存在的早熟、收斂到最優解慢等問題提出了解決方法,並將改進遺傳演算法應用到圖像分割中,編制了相應程序。At first, based on the simple genetic algorithm, an improved ga which adopts a combination of emigration policy and adaptive operator is presented. results of numerical optimization show that the improved ga is effective on preventing premature problem
本文在基本遺傳演算法的基礎上首先研究了浮點編碼遺傳演算法在數值優化中的應用,通過引進「移民策略」和自適應運算元相結合的方法,改進了基本遺傳演算法在後期進化緩慢的問題,極大地減少了早熟性收斂的現象。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。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。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。To optimize the multi - phase homing trajectory, an improved adaptive genetic algorithm ( iaga ) was proposed, which could efficiently improve convergence speed and avoid the occurrence of premature
在對分段歸航軌跡的優化中,提出了改進自適應遺傳演算法,該演算法通過增加「強化」運算元、改進對種群「早熟」程度評價指標等,有效地提高了收斂速度、避免了「早熟」現象。Secondly, the methods to realize the shaping - filter are introduced, which include the fir algorithm, the fft - ifft algorithm and the symbol sliding - window algorithm. the genetic algorithm ( ga ) is used to optimize the filter coefficients
接著介紹了成形濾波器的幾種實現方法,包括fir演算法、 fft - ifft演算法和碼元滑動窗演算法,並將遺傳演算法用於確定成形濾波器的系數。In the fourth chapter, several methods for handling constrains by genetic algorithms for nonlinear programming problems are introduced. these methods were grouped into four categories : methods based on preserving feasibility of solutions, methods based on penalty functions, methods which make a clear distinction between feasible and infeasible solutions and other hybrid methods
在第四章中介紹了處理約束的四類方法:運算元修正法,罰函數法,可行域搜索法,以及混合遺傳演算法,並對這些方法做了詳細的分析,指出了他們優劣之處。Integrated operator genetic algorithm for solving multi - objective flexible job - shop scheduling
多目標柔性作業車間調度的集成運算元遺傳演算法A combined neural network and genetic algorithm with solving stability safety of homogeneous slope was proposed and the finite element method is applied to analysis the progressive failure process of the slope and the maximum equilibrium theory, requests out stability safety of homogeneous slope with the smooth arc radius of difference with the difference below the level coordinate of arc peak, utilizing the neural network algorithm to establish slidng the nonlinear mapping relationship between level coordinate of arc radious and arc peak, being adapted the neural network algorithm to look for along the minimal stability safety of homogeneous slope and corresponding arc radious and arc peak
提出了求解邊坡穩定性安全系數的神經網路與遺傳演算法。該方法採用有限元分析和極限平衡理論,求出不同的滑弧半徑和不同的弧頂水平坐標下的邊坡穩定性安全系數,利用神經網路演算法建立滑弧半徑和弧頂水平坐標與安全系數之間的非線性映射關系,採用遺傳演算法搜索邊坡的最小穩定性安全系數及相應的滑弧半徑和滑弧中心坐標。The thesis detailedly discusses a kind of optimize method on genetic algorithm, and points out the advantage obout utilizing genetic algorithm to solve large - scale non - linear system. through the study on large - scale strip mine truck real - time dispatch system, proposes the optimize model of strip mine truck real - time dispatch system, and utilizes the characteristic of genetic algorithm, provides a method of using genetic algorithm to solve the optimize model, designs the genetic operators at the same time. by the program language of matlab, develops strip mine truck real - time dispatch system. the system has the advantage of simpless and perfect function, proposes powerful sustain for strip mine ' s production and decision - making
本文詳細討論了遺傳演算法這種優化方法,指出了遺傳演算法在解決大型非線性系統優化問題時的優越性。通過對大型露天礦卡車調度系統的研究,建立了露天礦卡車實時調度系統的優化模型,並藉助于遺傳演算法自身的優點,給出了應用遺傳演算法解算該優化模型的編碼方法,設置了相應的遺傳運算元。並用matlab編程語言開發了露天礦卡車實時調度系統,該系統具有操作簡單和功能較完善等優點,為露天礦的生產決策提供了強大的支持。Taking natural frequency and mode as damage principle, damage detection is studied as optimal problem based on genetic algorithm, and damage indices, symmetry and precision in the damage detection is discussed. numerical simulation of the damage detection of offshore platforms using genetic algorithm proves the feasibility of genetic algorithm in damage detection of large structure ; program all the process of genetic algorithm in damage detection into damage detection system
以實測的固有頻率和振型為診斷依據,將損傷診斷問題歸結為優化問題,採用遺傳演算法加以研究,以10單元固端梁的損傷診斷為基礎,討論了診斷中出現的損傷指標,損傷對稱性和變量精度等問題;將遺傳演算法的損傷診斷應用於海洋平臺,驗證了遺傳演算法用於大型結構損傷診斷的可能性;並用matlab將遺傳演算法應用於損傷診斷的全過程編製成損傷診斷系統。At first, in order to prevent the premature convergence of genetic algorithm effectively, the author brings forward a novel dyadic floating - point supplementary mutation operator. then, simulating the natural evolution, the author presents a novel topology, unoriented - connected topology, for parallel genetic algorithm. in the end, an interval decomposed optimization method is brought forward for ipga, which can improve the optimization performance of the algorithm
為提高演算法的性能,作者對遺傳演算法進行三種改進:首先,為克服遺傳演算法早熟收斂,作者提出一種新的二元浮點補碼變異運算元;其次,模擬生物自然進化模式,為并行遺傳演算法提出了一個新的并行拓撲結構- - - -無定向拓撲連接;最後,作者提出一種區間分解優化思想,來提高對最優解的搜索能力。According to the shortage of ga converging to a local optimal solution because of reducing the diversity of individuals, the theory of biological immune system is cited, the immune operators including calculation the densities of antibodies, activating or suppressing antibodies and making the memory cell are designed, and effectively combined with ga operators
同時,針對遺傳演算法在收斂計算後期,由於種群趨向單一化,出現早熟現象而陷入局部最優解的缺點,借鑒生物原理的免疫系統,設計出抗體濃度計算、抗體的抑制/促進、構造記憶單元等多個免疫運算元,並與遺傳運算元進行有效結合。An optimization combination genetic algorithm based on reverse by threshold operator
基於閥值逆序運算元的優化組合遺傳演算法Then, we establish the finite element analysis models of the antenna in different structure layout, and obtain the corresponding frequencies and model shapes. finally, according to the importance of each object, we set up the model of multiple objects that aims to maximize the first natural frequency and minimize the mass. combining orthogonal experiment and variant weighting coefficient method, we formed an effective multiple objects optimized algorithm basing on the neural network and genetic algorithm
本文首先詳細的敘述了天線結構的各組成單元,闡明了天線反射拋物面的形成原理;然後在ansys軟體環境中建立了不同結構布局下天線的有限元分析模型,分析計算了各種情況下天線的的固有頻率與振型;最後依據天線各指標的重要性,建立了以一階固有頻率最大、質量最小為目標的天線結構多目標優化設計模型,並基於神經網路和遺傳演算法,結合正交實驗和變加權系數技術,形成了一種有效的多目標優化演算法,在matlab平臺下實現了天線的結構多目標優化設計計算程序,求得了天線的最佳結構參數。Based on the single genetic algorithms and the features of the distribution network reconfiguration, this dissertation makes a further study on such aspects as selection operator, crossover operator, mutation operator, termination conditions and etc, thus, puts forward improved genetic algorithms. the dissertation makes certain study on the optimization reconfiguration model of distribution network. it puts forward a multi - objective model and according to the theory of variable weight coefficients transforms the multi - objective problem into a single - objective one
針對目前遺傳演算法在配電網路重構應用中的不足,論文著重從選擇運算元、交叉運算元、變異運算元和收斂準則等方面進行了改進,把最優保存策略和兩兩競爭相結合的方法作為新的選擇運算元,採用隨最優個體相對保留代數自適應變化的交叉和變異運算元,把最優個體最少保留代數作為演算法的終止條件。The image features of object and ambiance in the real robot visual servo system are analyzed. the method of object recognition based on image segmentation and corner detection is presented. an image is segmented into several regions by image segmentation
分析了實際的機器人視覺系統中目標物體以及環境的圖像特徵,提出基於圖像分割與角點檢測的物體識別方法,通過圖像分割將整幅圖像分割為一個個的單一物體區域,分別利用角點檢測,找出與模板角點信息相匹配的區域,然後利用基於模糊自適應操作運算元遺傳演算法的圖像匹配方法尋求最優匹配。分享友人