genetic operators 中文意思是什麼
genetic operators
解釋
遺傳運算元-
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。 -
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。 -
In the genetic process of reproduction, crossover and mutation of the chromosomes in this method, these operators pr, pc and pm are produced randomly within some space, the scale of population and all kinds of genetic probability are also adjusted randomly so that the diversity individuals of population is ensured. the ga of dynamic population scale passes more information of paternal chromosomes to the offspring, which is beneficial to search the global optimization or quasi - global optimization
該方法在染色體進行繁殖、交叉、突變的遺傳過程中，在某一范圍內隨機選取p _ r ， p _ c ， p _ m ，動態調整種群規模，保證了種群個體的多樣性；選擇同父本分別進行三種遺傳過程使得父本染色體中有更多的信息傳遞給子代，這有利於搜索全域最優解或準最優解。 -
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 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。 -
The one - dimensional binary code is used to encode the algorithm because it is suitable to express genetic operators
為了加快演算法的收斂，在適應值函數中引入了懲罰函數，可以保證所求約簡既含較少屬性又有較強支持度。 -
This thesis presented a modified genetic operators in clustering analysis, and firstly introduced good point set - based clustering algorithm - gameans, which characterized by inferior sensitivity to initial, robustness, and removable premature, and also firstly presented a hybrid method with ga and gameans. experiment show that the hybrid method with general performances can find better clustering results
文中討論了聚類分析的遺傳操作改進方法，首次提出了基於佳點集ga的聚類演算法gameans ，降低了傳統聚類演算法對初始化的要求，具有收斂快、較強的穩健性和可避免早熟的特點。 -
Analysis on the genetic operators of partheno - genetic algorithm
單親遺傳演算法的遺傳運算元分析 -
( 3 ) the span analysis of the genetic operators. 8 schemes were provided to analyze the relation of the genetic operators such as population size, cross probability, mutation probability. at last, a optimum group of genetic operators was selected
提出8種方案來分析遺傳操作運算元（種群規模、交叉概率和變異概率）之間的聯系，並根據精度最高原則最終確定一組合適的遺傳操作運算元。 -
Standard genetic operators are not always suitable for task matching and scheduling based on permutation representation
基於任務排列的知識表示，常規的標準遺傳操作運算元並不總是有效的。 -
In the first phase, users are partitioned into fuzzy regions according to quantity supplied and the length of paths using genetic algorithm ; in the second phase the global optimization is carried out by the hybrid genetic algorithm with 2d variable - length chromosomes and corresponding genetic operators
在第1階段，使用遺傳演算法對客戶按供應量和路徑長度進行模糊分區；在第2階段，採用二維變長染色體編碼及相應的遺傳運算元進行混合遺傳演算法的全局優化。 -
In order to handle the subgraph isomorphism problem, the concept of individuals with state backtracking was proposed, where the state information of some potential individuals produced during the evolution were preserved, which contributed to the design of genetic operators
針對圖數據挖掘中經常遇到的子圖同構問題，提出了帶狀態回溯個體的概念，從而使遺傳運算元的設計更為合理。 -
Three genetic operators, such as improved crossover, internal crossover and migration as a kind of mutation, were designed based on permutation representation
演算法直接採用任務列表編碼結構，在此基礎上設計出三個專門的遺傳運算元，即改進的交叉運算元、內部交叉運算元和具有變異功能的遷移運算元。 -
This thesis is focused on the following flve topics. first, comparative analysis of binary encoding and float encoding is made, the advantage and disadvantages of two encoding modes and their influence on genetic operators are clarified, thus the basis for reasonable description of the problems is provided. secondly, as genetic operators have an important influence on performance of algorithms, this thesis demonstrates that the simulated binary crossover can keep the mean of population unchanged, and under some conditions
作者在論文期間的工作主要集中在以下幾個方面：對遺傳演算法中的二進制編碼和浮點數編碼進行對比分析，闡明兩種編碼方法的優缺點和對遺傳操作運算元的影響，為合理地描述待解決的問題提供一定的依據；遺傳操作運算元對演算法的性能有重大的影響，文中對模擬二進制交叉運算元對群體的分佈影響進行了分析論證，得出模擬二進制交叉能保持群體的均值，並在滿足一定條件下使群體方差變大的結論；如何保持群體的多樣性，一直是進化演算法研究的主要內容。 -
At last, based on the modal of ga dynamics, the performance of genetic operators was analyzed
分析了幾種常見的改進遺傳演算法結構的方法，以提高遺傳演算法的性能。 -
In addition, the pmx operator as well as other genetic operators for these two problems are very efficient, and so is the responding program
另外，本文針對指派問題和排序問題提出的pmx交叉運算元以及設計的運行程序非常有效。 -
Vega is a coevolutionary algorithm, which can make not only global search by vertical inheritance of evolutionary information between parent and child populations with genetic operators but also local search by horizontal propagation of evolutionary information in the same population with virus infection operators, so it can get the satisfied solution in less time than genetic algorithm ( ga )
病毒進化遺傳演算法是一種協同進化演算法，既實現了遺傳操作在父子代群體間縱向繼承進化信息進行全局搜索的功能，也實現了病毒感染操作在同一代群體中橫向傳播進化信息進行局部搜索的功能，從而可以比遺傳演算法較快獲得問題的滿意解。 -
And then, the eight - parameter 2d projection model is optimized by ga, including adjusting genetic operators to eliminate the local convergence and premature convergence problem
接著本文採用遺傳演算法優化二維投影模型的8個參數，通過調整遺傳運算元來消除局部收斂和末成熟收斂問題。 -
Three genetic operators are proposed : improved crossover ( imcx ), internal crossover ( incx ), and migration which transfers a task from a processor to another within a sche dule as a kind of mutation
在列表編碼的知識表示基礎上，設計了三個有針對性的遺傳運算元，即改進的交配運算元、內部交配運算元和一種作為變異的遷移運算元。 -
An optimizing method based on biological evolution - genetic algorithm is proposed to the problem of the construction process planning analysis. adapting the successful experience of path optimization problem, improved genetic operators are adopted : the sequence of numbers, which is arranged by the removal order of members, is assumed to represent a chromosome by natural code ; transforming baseline information of this problem into immune operators ; combining rank - based model with elitist model ; designing special crossover and mutation operators. the mathematical model for computer and special programs are provided in this paper
借鑒遺傳演算法在求解路徑優化問題上的成功經驗，應用了改進的遺傳運算元：採用自然數對結構去除構件進行編碼，將所求問題的基本信息轉換成免疫運算元，採用穩態最優保存策略和排序選擇方法相結合進行選擇，採用適用於本問題研究的特殊的交叉運算元和變異運算元，從而來討論在桁架結構施工路徑優化問題中使用遺傳演算法的可能性。
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